# Best Relational Databases ## How Many Relational Databases Products Does G2 Track? **Total Products under this Category:** 182 ### Category Stats (Jul 2026) - **Average Rating:** 4.26/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** Apache Calcite (+1.1%) - Among all products in this category, Apache Calcite recorded the largest rating increase compared to last month _Last updated: July 31, 2026_ ## How Does G2 Rank Relational Databases Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 12,300+ Authentic Reviews - 182+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## G2 Grid® for Relational Databases ![G2 Grid® for Relational Databases plotting products by satisfaction and market presence](https://www.g2.com/categories/relational-databases/grids.png?focus%5B%5D=630&focus%5B%5D=967&focus%5B%5D=1251&focus%5B%5D=585&focus%5B%5D=40540&focus%5B%5D=986&focus%5B%5D=40868&focus%5B%5D=146570) Highlighted products: Microsoft SQL Server, Oracle Database, SAP HANA Cloud, Amazon Relational Database Service (RDS), Google Cloud SQL, MySQL, Amazon Aurora, and EDB for PostgreSQL. Underlying data: [Grid® JSON](https://www.g2.com/categories/relational-databases/grids.json?focus%5B%5D=microsoft-sql-server&focus%5B%5D=oracle-database&focus%5B%5D=sap-hana-cloud-2025-10-01&focus%5B%5D=amazon-relational-database-service-rds&focus%5B%5D=google-cloud-sql&focus%5B%5D=mysql&focus%5B%5D=amazon-aurora&focus%5B%5D=edb-for-postgresql) **Sponsored** ### SAP Business Data Cloud SAP Business Data Cloud is a fully managed software-as-a-service (SaaS) solution that unifies and governs SAP data and connects with third-party data. As an evolution of the company's data, planning, and analytics solutions, SAP Business Data Cloud brings together SAP Datasphere, SAP Analytics Cloud, and SAP Business Warehouse with a unified experience that delivers insights across all lines of business. In addition, SAP Databricks is natively available in Business Data Cloud - bringing the power of Databricks Data Intelligence Platform capabilities to the product. SAP Business Data Cloud connects data by leveraging business data fabric principles, making it easier to discover, share, govern, and model this data. It includes SAP Databricks as a first-party data service. The platform combines prebuilt applications and data products across all lines of business. It provides fully managed, curated data products across all lines of business and eliminate the costs of data extracts. Users can build on SAP’s curated data products with their domain expertise, and deliver Intelligent Applications through the Business Data Cloud ecosystem. These intelligent applications are adaptive, AI-powered applications that learn from your data, understand business context, and act on your behalf to transform business outcomes. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=301&secure%5Bchosen_at%5D=2026-07-31T13%3A41%3A00Z&secure%5Bdisplayable_resource_id%5D=301&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=301&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1434713&secure%5Bresource_id%5D=301&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Frelational-databases&secure%5Btoken%5D=196fa2d81cf41a1dd775d36d7bf0bdf6caf628937148fd22724c37a922d03a28&secure%5Burl%5D=https%3A%2F%2Fwww.sap.com%2Fdocuments%2F2026%2F03%2Fbc3a8c27-447f-0010-bca6-c68f7e60039b.rc.html%3Fcampaigncode%3DCRM-YD25-BDC-406625%26source%3DBDC-click-campaign-G2&secure%5Burl_type%5D=custom_url) ### [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI. **Average Rating:** 4.4/5.0 **Total Reviews:** 2,127 #### How Do G2 Users Rate Microsoft SQL Server? - **Ease of Use:** 8.6/10 (Category avg: 8.5/10) - **Workload Management:** 8.7/10 (Category avg: 8.3/10) - **Data Schema:** 9.1/10 (Category avg: 8.6/10) - **Query Language:** 9.2/10 (Category avg: 8.5/10) #### Who Is the Company Behind Microsoft SQL Server? - **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft) - **Year Founded:** 1975 - **HQ Location:** Redmond, Washington - **Twitter:** @microsoft 13,091,739 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website) 231,632 employees on LinkedIn® - **Ownership:** MSFT #### Who Uses This Product? - **Who Uses This:** Software Engineer, Software Developer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 45% Large, 37% Medium #### What Do G2 Reviewers Say About Microsoft SQL Server? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Microsoft SQL Server, enjoying its intuitive GUI and powerful capabilities. - Users appreciate the **robust database management** of Microsoft SQL Server, enabling effective data handling and user administration. - Users value the **exceptional performance** of Microsoft SQL Server, noting its powerful capabilities and ease of use. - Users appreciate the **enterprise-grade security and powerful features** of Microsoft SQL Server, enhancing peace of mind and usability. - Users appreciate the **easy integrations** of Microsoft SQL Server, enhancing their data management and analytics workflows seamlessly. ##### Cons - Users find Microsoft SQL Server's **high licensing costs** prohibitive, particularly affecting smaller businesses and startups. - Users struggle with the **high licensing costs** of Microsoft SQL Server, making it challenging for smaller businesses. - Users note that the **high licensing costs** of Microsoft SQL Server can be challenging for smaller businesses and projects. - Users find the **licensing costs to be prohibitively high** , especially for small businesses and projects. - Users find **performance issues** with SQL Server, particularly regarding tuning, scaling, and resource consumption on older systems. #### What Are Recent G2 Reviews of Microsoft SQL Server? **["Makes Data management simpler!!"](https://www.g2.com/survey_responses/microsoft-sql-server-review-12902759)** **Rating:** 4.0/5.0 stars _— Hari K._ [Read full review](https://www.g2.com/survey_responses/microsoft-sql-server-review-12902759) **["Powerful Performance Tuning, Strong Security and Environment Flexible"](https://www.g2.com/survey_responses/microsoft-sql-server-review-12873238)** **Rating:** 4.0/5.0 stars _— Janani D._ [Read full review](https://www.g2.com/survey_responses/microsoft-sql-server-review-12873238) #### What Are G2 Users Discussing About Microsoft SQL Server? - [What are the latest advancements in Microsoft SQL Server that are enhancing database management for businesses?](https://www.g2.com/discussions/what-are-the-latest-advancements-in-microsoft-sql-server-that-are-enhancing-database-management-for-businesses) - 2 comments - [What is Microsoft SQL Server used for?](https://www.g2.com/discussions/microsoft-sql-server-what-is-microsoft-sql-server-used-for) - 2 comments, 1 upvote - [Is there a free version of Microsoft SQL Server?](https://www.g2.com/discussions/is-there-a-free-version-of-microsoft-sql-server) - 3 comments - [What is Microsoft SQL Server used for?](https://www.g2.com/discussions/what-is-microsoft-sql-server-used-for) - 2 comments - [What are the features of SQL?](https://www.g2.com/discussions/what-are-the-features-of-sql) - 1 comment ### [Oracle Database](https://www.g2.com/products/oracle-database/reviews) Oracle Database is a comprehensive, multi-model database management system developed by Oracle Corporation. It is designed to handle various data types and workloads, including online transaction processing (OLTP), data warehousing, and mixed database operations. With its robust architecture, Oracle Database supports deployment across on-premises environments, cloud platforms, and hybrid configurations, offering flexibility and scalability to meet diverse business needs. Key Features and Functionality: - Multi-Model Support: Oracle Database accommodates various data models, including relational, document, graph, and key-value, enabling developers to work with diverse data types within a single platform. - Advanced Analytics: The database integrates advanced analytics capabilities, such as in-database machine learning and AI Vector Search, allowing users to perform complex analyses directly within the database environment. - High Availability and Scalability: Designed for mission-critical applications, Oracle Database offers features like data replication, backup, server clustering, and automatic storage management to ensure high availability and seamless scalability. - Security: With comprehensive security measures, including encryption, SQL Firewall, and data masking, Oracle Database safeguards sensitive information and maintains data integrity. - Multicloud Deployment: Oracle Database supports deployment across various cloud platforms, including Oracle Cloud Infrastructure, AWS, Microsoft Azure, and Google Cloud, providing flexibility and compliance with data residency requirements. Primary Value and Solutions Provided: Oracle Database addresses the complex data management needs of modern enterprises by offering a unified platform that supports multiple data models and workloads. Its integration of AI and machine learning capabilities enables organizations to derive actionable insights directly from their data, enhancing decision-making processes. The database's high availability and scalability ensure that businesses can maintain continuous operations and adapt to growing data demands. Additionally, its robust security features protect against data breaches and ensure compliance with regulatory standards. By supporting multicloud deployments, Oracle Database provides the flexibility to operate in various cloud environments, facilitating seamless integration and innovation across different platforms. **Average Rating:** 4.3/5.0 **Total Reviews:** 931 #### How Do G2 Users Rate Oracle Database? - **Ease of Use:** 8.3/10 (Category avg: 8.5/10) - **Workload Management:** 8.6/10 (Category avg: 8.3/10) - **Data Schema:** 9.0/10 (Category avg: 8.6/10) - **Query Language:** 8.9/10 (Category avg: 8.5/10) #### Who Is the Company Behind Oracle Database? - **Seller:** [Oracle](https://www.g2.com/sellers/oracle) - **Year Founded:** 1977 - **HQ Location:** Austin, TX - **Twitter:** @Oracle 827,997 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a14fcbcd818b49d781453c19628a9479a70cc1e8e335e54c876392ab5f543da3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1028%2F&secure%5Burl_type%5D=linkedin_company_website) 208,078 employees on LinkedIn® - **Ownership:** NYSE:ORCL #### Who Uses This Product? - **Who Uses This:** Software Engineer, Software Developer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 62% Large, 27% Medium #### What Do G2 Reviewers Say About Oracle Database? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **strong security** features of Oracle Database, ensuring data integrity and safeguarding sensitive information. - Users commend the **reliable performance** of Oracle Database, appreciating its ability to handle large data volumes efficiently. - Users find Oracle Database to have **great ease of use** , appreciating its simple implementation and integration with various technologies. - Users appreciate the **easy integrations** with other systems, enhancing functionality and simplifying report creation. - Users value the **reliable performance** of Oracle Database, ensuring data integrity and seamless integration across various applications. ##### Cons - Users find Oracle Database's **high licensing and maintenance costs** to be a financial burden, especially for smaller organizations. - Users find the **complexity** of Oracle Database overwhelming, especially those new to it or with limited budgets. - Users find the **poor usability** of Oracle Database challenging, especially due to its complex command-based interface and setup. - Users find the **difficult learning curve** of Oracle Database challenging, hindering effective configuration and management for newcomers. - Users find the **steep learning curve** of Oracle Database challenging, making it difficult for beginners to adapt quickly. #### What Are Recent G2 Reviews of Oracle Database? **["Enterprise-Grade Reliability, Security, and Scalability with Oracle Database"](https://www.g2.com/survey_responses/oracle-database-review-13070547)** **Rating:** 5.0/5.0 stars _— Rushikesh A._ [Read full review](https://www.g2.com/survey_responses/oracle-database-review-13070547) **["Oracle Scales Smoothly for Massive Data and Complex Queries"](https://www.g2.com/survey_responses/oracle-database-review-12718297)** **Rating:** 4.0/5.0 stars _— Jin Ming C._ [Read full review](https://www.g2.com/survey_responses/oracle-database-review-12718297) #### What Are G2 Users Discussing About Oracle Database? - [What is Oracle Database used for?](https://www.g2.com/discussions/what-is-oracle-database-used-for) - 2 comments, 1 upvote - [What is Oracle View and advantages?](https://www.g2.com/discussions/what-is-oracle-view-and-advantages) - 1 comment - [What are the advantages of Oracle?](https://www.g2.com/discussions/what-are-the-advantages-of-oracle) - 1 comment - [What is Oracle database software used for?](https://www.g2.com/discussions/what-is-oracle-database-software-used-for) - [What is Oracle and its features?](https://www.g2.com/discussions/what-is-oracle-and-its-features) ### [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learning and predictive tools grounded in modern data science. Its powerful in-memory performance safeguards efficient data processing. By securely storing vast amounts of data with its integrated multitier storage and handling various types on a single copy in its native multi-model database, SAP HANA Cloud simplifies data management and connects to other data sources. The seamless integration of these capabilities in a reliable, unified foundation makes it easier for developers to build high-demand intelligent data apps. **Average Rating:** 4.3/5.0 **Total Reviews:** 521 #### How Do G2 Users Rate SAP HANA Cloud? - **Ease of Use:** 8.2/10 (Category avg: 8.5/10) - **Workload Management:** 8.6/10 (Category avg: 8.3/10) - **Data Schema:** 8.5/10 (Category avg: 8.6/10) - **Query Language:** 8.3/10 (Category avg: 8.5/10) #### Who Is the Company Behind SAP HANA Cloud? - **Seller:** [SAP](https://www.g2.com/sellers/sap) - **Company Website:** www.sap.com - **Year Founded:** 1972 - **HQ Location:** Walldorf - **Twitter:** @SAP 297,052 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website) 141,955 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Consultant, SAP Consultant - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 61% Large, 26% Medium #### What Do G2 Reviewers Say About SAP HANA Cloud? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** with SAP HANA Cloud, enjoying seamless integration and smooth real-time analytics. - Users appreciate the **easy integrations** of SAP HANA Cloud, enhancing their workflow and data management seamlessly. - Users value the **smooth integration capabilities** of SAP HANA Cloud, enhancing efficiency and simplifying data management. - Users value the **speed and responsiveness** of SAP HANA Cloud, making data handling efficient and streamlined. - Users value the **flexible and elastic scalability** of SAP HANA Cloud, enhancing performance for data-intensive applications. ##### Cons - Users find the **complexity of the setup** challenging, particularly for new users and integrations with other systems. - Users find SAP HANA Cloud to be **expensive** , particularly for large data demands and advanced configurations requiring expertise. - Users find the **learning curve challenging** , especially for teams new to HANA's concepts and SQL extensions. - Users find the **difficult learning curve** of SAP HANA Cloud challenging, especially for new users and feature navigation. - Users find the **complex setup** of SAP HANA Cloud challenging, particularly for newcomers and during initial provisioning. #### What Are Recent G2 Reviews of SAP HANA Cloud? **["Efficient Transactions, But Time-Intensive Setup"](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922)** **Rating:** 4.0/5.0 stars _— Sumeet R._ [Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922) **["Real-Time Analytics Powerhouse with Flexible, Scalable Performance."](https://www.g2.com/survey_responses/sap-hana-cloud-review-12631916)** **Rating:** 5.0/5.0 stars _— Mahendra S._ [Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-12631916) ### [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your apps so you can give them the better performance, availability, security, and compatibility they need. Amazon RDS is available on 6 familiar database instances: Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database and SQL Server engines. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your relational database instance via a single API call. In addition, Amazon RDS makes it easy to use replication to enhance availability and reliability for production databases. Amazon RDS for MySQL also enables you to scale out beyond the capacity of a single database deployment for read-heavy database workloads. As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. **Average Rating:** 4.5/5.0 **Total Reviews:** 865 #### How Do G2 Users Rate Amazon Relational Database Service (RDS)? - **Ease of Use:** 8.8/10 (Category avg: 8.5/10) - **Workload Management:** 8.7/10 (Category avg: 8.3/10) - **Data Schema:** 8.8/10 (Category avg: 8.6/10) - **Query Language:** 8.9/10 (Category avg: 8.5/10) #### Who Is the Company Behind Amazon Relational Database Service (RDS)? - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud 2,232,483 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website) 147,094 employees on LinkedIn® - **Ownership:** NASDAQ: AMZN #### Who Uses This Product? - **Who Uses This:** DevOps Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 38% Medium, 34% Large #### What Do G2 Reviewers Say About Amazon Relational Database Service (RDS)? _AI-generated summary from verified user reviews_ ##### Pros - Users praise the **ease of use** of Amazon RDS, simplifying database management and enhancing application development efficiency. - Users appreciate the **scalability** of Amazon RDS, enabling easy adjustments to database resources as project needs change. - Users find RDS to be very **secure and reliable** , alleviating concerns about data loss and downtime. - Users find the **setup ease** of Amazon RDS impressive, allowing quick database launches with a user-friendly interface. - Users praise the **automated backup services** of Amazon RDS, enabling effortless database management and enhanced focus on development. ##### Cons - Users find Amazon RDS **expensive** , especially as applications scale, leading to increased costs and limited control. - Users express concerns about **cost issues** , noting unexpected charges and a lack of transparency in pricing models. - Users experience **limited control** over configurations in Amazon RDS, restricting customization and flexibility for their projects. - Users often find **Amazon RDS's complexity** frustrating, leading to difficulties in cost management and service navigation. - Users find Amazon RDS to have **limited customization** , restricting advanced configurations for more complex needs. #### What Are Recent G2 Reviews of Amazon Relational Database Service (RDS)? **["Streamlined Database Management with Amazon RDS"](https://www.g2.com/survey_responses/amazon-relational-database-service-rds-review-12793938)** **Rating:** 4.0/5.0 stars _— Atharva P._ [Read full review](https://www.g2.com/survey_responses/amazon-relational-database-service-rds-review-12793938) **["Effortless Database Management with AWS RDS"](https://www.g2.com/survey_responses/amazon-relational-database-service-rds-review-10409041)** **Rating:** 4.5/5.0 stars _— Sahil Y._ [Read full review](https://www.g2.com/survey_responses/amazon-relational-database-service-rds-review-10409041) #### What Are G2 Users Discussing About Amazon Relational Database Service (RDS)? - [What is Amazon Relational Database Service (RDS) used for?](https://www.g2.com/discussions/what-is-amazon-relational-database-service-rds-used-for) - 2 comments, 2 upvotes ### [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) Cloud SQL is a fully-managed managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems. **Average Rating:** 4.5/5.0 **Total Reviews:** 354 #### How Do G2 Users Rate Google Cloud SQL? - **Ease of Use:** 9.2/10 (Category avg: 8.5/10) - **Workload Management:** 9.0/10 (Category avg: 8.3/10) - **Data Schema:** 9.1/10 (Category avg: 8.6/10) - **Query Language:** 9.3/10 (Category avg: 8.5/10) #### Who Is the Company Behind Google Cloud SQL? - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google 31,899,995 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website) 341,888 employees on LinkedIn® - **Ownership:** NASDAQ:GOOG #### Who Uses This Product? - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 41% Medium, 33% Small #### What Do G2 Reviewers Say About Google Cloud SQL? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **automated management** of Google Cloud SQL, which saves time and enhances scalability and reliability. - Users value the **seamless integration** of Google Cloud SQL with Google Cloud services, enhancing efficiency and scalability. - Users love the **ease of use** of Google Cloud SQL, making database management straightforward and hassle-free. - Users appreciate the **easy integrations** of Google Cloud SQL, enhancing efficiency and convenience for cloud-based database management. - Users praise the **scalability** of Google Cloud SQL, enjoying its seamless integration and automation for efficient database management. ##### Cons - Users find Google Cloud SQL to be **expensive** , especially regarding storage, traffic, and pricing for smaller projects. - Users feel that the **cost concerns** of Google Cloud SQL can be burdensome, especially for small businesses and individuals. - Users often face **scaling issues** with Google Cloud SQL, including slow support and cost escalation during vertical scaling. - Users find the **complex pricing** difficult to understand, making cost forecasting and optimization challenging. - Users find the **pricing confusion** in Google Cloud SQL challenging, desiring clearer estimates and better forecasting tools. #### What Are Recent G2 Reviews of Google Cloud SQL? **["Secure, Highly Available, and Scalable Cloud SQL for Diverse Workloads"](https://www.g2.com/survey_responses/google-cloud-sql-review-12804608)** **Rating:** 5.0/5.0 stars _— Akshay J._ [Read full review](https://www.g2.com/survey_responses/google-cloud-sql-review-12804608) **["User-Friendly Cloud Database with Seamless Setup"](https://www.g2.com/survey_responses/google-cloud-sql-review-12448193)** **Rating:** 4.5/5.0 stars _— Yeshwanth M._ [Read full review](https://www.g2.com/survey_responses/google-cloud-sql-review-12448193) #### What Are G2 Users Discussing About Google Cloud SQL? - [What is Google Cloud SQL used for?](https://www.g2.com/discussions/what-is-google-cloud-sql-used-for) - 2 comments - [How much is Google Cloud SQL?](https://www.g2.com/discussions/how-much-is-google-cloud-sql) - 2 comments - [What is Cloud SQL?](https://www.g2.com/discussions/what-is-cloud-sql) - 3 comments - [How do I use Google cloud in SQL?](https://www.g2.com/discussions/how-do-i-use-google-cloud-in-sql) - [What are the features of Cloud SQL?](https://www.g2.com/discussions/what-are-the-features-of-cloud-sql) - 1 comment, 1 upvote ### [MySQL](https://www.g2.com/products/mysql/reviews) MySQL is the world's most popular open-source database, renowned for its reliability, performance, and ease of use. It serves as the backbone for many high-profile web applications, including those of Facebook, Twitter, and YouTube. MySQL offers a comprehensive suite of features that cater to the needs of modern web, mobile, embedded, and cloud applications. Key Features and Functionality: - Transactional Data Dictionary: Implemented as a set of SQL tables stored in a single InnoDB tablespace, enhancing data management efficiency. - Common Table Expressions (CTEs): Also known as WITH queries, CTEs simplify complex queries and improve readability. - Window Functions: These functions reduce code complexity and boost developer productivity by allowing calculations across sets of table rows related to the current row. - Invisible Indexes: Facilitate better management of software upgrades and database changes for applications that require continuous operation. - Descending Indexes: Eliminate the need for sorting results, leading to performance improvements. - JSON Support: Includes the JSON\_TABLE() function, which accepts JSON data and returns it as a relational table, enhancing flexibility in data handling. - Document Store: Allows the development of both SQL and NoSQL document applications using a single database, providing versatility in application design. - SQL Roles: Simplify permission management by granting and denying permissions to groups of users, thereby reducing the security workload. - OpenSSL Integration: Utilizes OpenSSL as the default TLS/SSL library, ensuring secure data transmission. - Default to utf8mb4 Character Set: Supports richer mobile applications and international character sets, accommodating a global user base. - Geographic Information System (GIS) Enhancements: Supports geography and Spatial Reference Systems (SRS), enabling advanced spatial data analysis. - InnoDB Cluster: Provides improved high availability through integrated solutions. - InnoDB ClusterSet: Offers cross-region disaster recovery capabilities, ensuring data resilience. - Replication: Provides flexible topologies for scale-out and high availability, enhancing system robustness. - Reliability: Requires minimal intervention to achieve continuous uptime, ensuring consistent performance. - Partitioning: Improves performance and management of very large database environments by dividing tables into smaller, more manageable pieces. - ACID Transactions: Ensures reliable and secure business-critical applications by supporting Atomicity, Consistency, Isolation, and Durability. - Stored Procedures and Triggers: Enhance developer productivity and enforce complex business rules at the database level. - Views: Ensure sensitive information is not compromised by providing controlled access to data. - Ease of Use: Offers a "3 minutes from download to development" installation and configuration process, facilitating quick deployment. - Low Administration: Requires very little database maintenance, reducing operational overhead. Primary Value and User Solutions: MySQL delivers a robust, scalable, and secure database solution that addresses the needs of developers and enterprises alike. Its comprehensive feature set supports the development of high-performance applications across various platforms, including web, mobile, embedded, and cloud environments. By offering advanced functionalities such as ACID compliance, high availability, and flexible replication, MySQL ensures data integrity and reliability. Its ease of use and low administrative requirements enable organizations to reduce operational costs and accelerate time-to-market for their applications. Furthermore, MySQL's support for modern development practices, including JSON and NoSQL capabilities, allows developers to build versatile and future-proof applications. **Average Rating:** 4.4/5.0 **Total Reviews:** 1,581 #### How Do G2 Users Rate MySQL? - **Ease of Use:** 8.7/10 (Category avg: 8.5/10) - **Workload Management:** 8.5/10 (Category avg: 8.3/10) - **Data Schema:** 9.1/10 (Category avg: 8.6/10) - **Query Language:** 9.2/10 (Category avg: 8.5/10) #### Who Is the Company Behind MySQL? - **Seller:** [Oracle](https://www.g2.com/sellers/oracle) - **Year Founded:** 1977 - **HQ Location:** Austin, TX - **Twitter:** @Oracle 827,997 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a14fcbcd818b49d781453c19628a9479a70cc1e8e335e54c876392ab5f543da3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1028%2F&secure%5Burl_type%5D=linkedin_company_website) 208,078 employees on LinkedIn® - **Ownership:** NYSE:ORCL #### Who Uses This Product? - **Who Uses This:** Software Engineer, Software Developer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 37% Small, 33% Large #### What Do G2 Reviewers Say About MySQL? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** of MySQL, appreciating its straightforward setup and convenience for managing data. - Users appreciate the **easy integrations** of MySQL, making it versatile and user-friendly for various projects. - Users appreciate the **reliability** of MySQL, ensuring data consistency and fast queries for varying project sizes. - Users value the **superior performance** of MySQL, benefiting from fast queries, scalable solutions, and reliable data handling. - Users value the **impressive querying and indexing capabilities** of MySQL, enhancing their data management experience significantly. ##### Cons - Users note **feature limitations** in MySQL, especially for complex data types and heavy analytical tasks. - Users find **limited database support** in MySQL restricts advanced analytics and makes complex queries problematic. - Users experience **performance issues** with MySQL during large-scale analytics and complex joins, impacting efficiency and requiring expertise. - Users experience **slow performance** with MySQL during large-scale analytics and complex queries, necessitating careful optimization. - Users often face **scaling issues** with MySQL, particularly when managing large databases or specific advanced features. #### What Are Recent G2 Reviews of MySQL? **["MySQL: Reliable, Fast ETL and Reporting with Powerful SQL"](https://www.g2.com/survey_responses/mysql-review-12694232)** **Rating:** 5.0/5.0 stars _— Aparajito P._ [Read full review](https://www.g2.com/survey_responses/mysql-review-12694232) **["Dependable, Well-Documented MySQL with Solid Performance and Strong ROI"](https://www.g2.com/survey_responses/mysql-review-13167638)** **Rating:** 4.5/5.0 stars _— Muhammed A._ [Read full review](https://www.g2.com/survey_responses/mysql-review-13167638) #### What Are G2 Users Discussing About MySQL? - [Could you explain how to optimize MySQL database performance for a new user handling large-scale data?](https://www.g2.com/discussions/could-you-explain-how-to-optimize-mysql-database-performance-for-a-new-user-handling-large-scale-data) - 3 comments - [What is MySQL used for?](https://www.g2.com/discussions/what-is-mysql-used-for) - 3 comments - [Can I use MySQL for free?](https://www.g2.com/discussions/can-i-use-mysql-for-free) - 4 comments, 2 upvotes - [Why we use MySQL database?](https://www.g2.com/discussions/why-we-use-mysql-database) - [What is MySQL and its advantages?](https://www.g2.com/discussions/what-is-mysql-and-its-advantages) - 1 comment ### [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews) Amazon Aurora is a fully managed relational database service that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Compatible with MySQL and PostgreSQL, Aurora delivers up to five times the throughput of standard MySQL databases and up to three times that of standard PostgreSQL databases. It is designed for high availability, offering up to 99.99% availability within a single region and up to 99.999% across multiple regions. Aurora's architecture includes a distributed, fault-tolerant storage system that automatically scales up to 128 tebibytes, ensuring continuous data access and durability. Additionally, Aurora provides serverless configurations, allowing automatic scaling based on application needs, and integrates seamlessly with other AWS services for machine learning and analytics. Key Features and Functionality: - High Performance: Delivers up to five times the throughput of MySQL and three times that of PostgreSQL, enabling efficient handling of demanding workloads. - High Availability: Designed for up to 99.99% availability within a single region and up to 99.999% across multiple regions, ensuring continuous data access. - Scalability: Automatically scales storage up to 128 tebibytes and supports up to 15 read replicas for read-intensive applications. - Serverless Configuration: Offers Aurora Serverless, which automatically adjusts capacity based on application demand, eliminating the need for manual provisioning. - Machine Learning Integration: Integrates with Amazon SageMaker and Amazon Comprehend, allowing for in-database machine learning capabilities without data movement. - Security: Provides multiple layers of security, including network isolation, encryption at rest and in transit, and compliance with various industry standards. Primary Value and Solutions Provided: Amazon Aurora addresses the need for a high-performance, highly available, and scalable relational database service that is cost-effective and easy to manage. By offering compatibility with MySQL and PostgreSQL, it allows organizations to migrate existing applications without significant code changes. Aurora's automatic scaling and serverless options cater to applications with variable workloads, reducing operational overhead and costs. Its integration with AWS machine learning services enables real-time analytics and predictive capabilities directly within the database, enhancing application functionality. Overall, Aurora simplifies database management while delivering enterprise-grade performance and reliability. **Average Rating:** 4.5/5.0 **Total Reviews:** 436 #### How Do G2 Users Rate Amazon Aurora? - **Ease of Use:** 8.7/10 (Category avg: 8.5/10) - **Workload Management:** 8.8/10 (Category avg: 8.3/10) - **Data Schema:** 8.7/10 (Category avg: 8.6/10) - **Query Language:** 8.6/10 (Category avg: 8.5/10) #### Who Is the Company Behind Amazon Aurora? - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud 2,232,483 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website) 147,094 employees on LinkedIn® - **Ownership:** NASDAQ: AMZN #### Who Uses This Product? - **Who Uses This:** DevOps Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 38% Small, 34% Medium #### What Do G2 Reviewers Say About Amazon Aurora? _AI-generated summary from verified user reviews_ ##### Pros - Users highlight the **auto-scaling capability** of Amazon Aurora, ensuring optimal performance and seamless management for growing applications. - Users appreciate the **high availability** of Amazon Aurora, which ensures reliable performance without infrastructure concerns. - Users appreciate the **ease of use** of Amazon Aurora, benefiting from its seamless database management and integration with AWS. - Users highlight the **impressive performance and scalability** of Amazon Aurora, boosting stability and speed for data management. - Users appreciate the **high availability** of Amazon Aurora, ensuring seamless performance and effortless scalability for demanding applications. ##### Cons - Users note that Amazon Aurora can be **expensive** , with costs unexpectedly increasing for larger datasets and storage needs. - Users face significant **dependency on the AWS ecosystem** , which can limit flexibility and integrations with other systems. - Users note the **feature limitations** of Amazon Aurora, especially compared to self-managed and other cloud databases. - Users express concerns over **cost issues** with Amazon Aurora, noting unpredictable expenses with larger datasets and storage needs. - Users find the **learning curve** for Amazon Aurora challenging, especially when transitioning from simpler database solutions. #### What Are Recent G2 Reviews of Amazon Aurora? **["Scalable and Efficient, But Costly"](https://www.g2.com/survey_responses/amazon-aurora-review-12520046)** **Rating:** 5.0/5.0 stars _— Igor Z._ [Read full review](https://www.g2.com/survey_responses/amazon-aurora-review-12520046) **["Robust Performance with Cost Challenges"](https://www.g2.com/survey_responses/amazon-aurora-review-12815576)** **Rating:** 4.5/5.0 stars _— Atharva P._ [Read full review](https://www.g2.com/survey_responses/amazon-aurora-review-12815576) #### What Are G2 Users Discussing About Amazon Aurora? - [What is Amazon Aurora used for?](https://www.g2.com/discussions/what-is-amazon-aurora-used-for) - 2 comments, 1 upvote - [What is Amazon Aurora vs RDS?](https://www.g2.com/discussions/what-is-amazon-aurora-vs-rds) - 2 comments - [Who uses Amazon Aurora?](https://www.g2.com/discussions/who-uses-amazon-aurora) - [Is Amazon Aurora any good?](https://www.g2.com/discussions/is-amazon-aurora-any-good) - [What does Amazon Aurora do?](https://www.g2.com/discussions/what-does-amazon-aurora-do) ### [EDB for PostgreSQL](https://www.g2.com/products/edb-for-postgresql/reviews) PostgreSQL is an open-source relational database management system (RDBMS) designed to handle a wide range of workloads, from small single-machine applications to large internet-facing applications with many concurrent users. It is known for its robustness, extensibility, and support for advanced data types and performance optimization features. PostgreSQL is particularly favored by developers and organizations looking to leverage a powerful database solution that can scale as their needs grow. The target audience for PostgreSQL includes software developers, database administrators, and organizations of all sizes that require a reliable and flexible database solution. Its versatility makes it suitable for various use cases, including web applications, data warehousing, and analytics. PostgreSQL supports complex queries, transactions, and concurrency, making it an ideal choice for applications that demand high performance and data integrity. Additionally, its open-source nature allows users to customize and extend its capabilities to meet specific requirements. EDB enhances PostgreSQL by providing additional features and tools that help organizations innovate and accelerate their database operations. EDB's offerings include advanced security features, enhanced performance tuning options, and tools for easier migration from other database systems. These enhancements enable users to maximize the potential of PostgreSQL, ensuring that they can efficiently manage their data and support their business objectives. Key features of EDB's PostgreSQL solutions include advanced replication capabilities, which ensure high availability and disaster recovery, and robust security measures that protect sensitive data. Furthermore, EDB provides comprehensive support and training resources, allowing users to fully leverage the capabilities of PostgreSQL. The combination of PostgreSQL's inherent strengths and EDB's enhancements creates a powerful database environment that can adapt to evolving business needs. Overall, EDB for PostgreSQL stands out in the database management landscape by offering a flexible, scalable, and secure solution. Postgres's ability to handle diverse workloads, coupled with EDB's additional features and support, makes it a compelling choice for organizations looking to innovate and accelerate their data-driven initiatives. **Average Rating:** 4.4/5.0 **Total Reviews:** 136 #### How Do G2 Users Rate EDB for PostgreSQL? - **Ease of Use:** 8.8/10 (Category avg: 8.5/10) - **Workload Management:** 9.0/10 (Category avg: 8.3/10) - **Data Schema:** 9.3/10 (Category avg: 8.6/10) - **Query Language:** 9.1/10 (Category avg: 8.5/10) #### Who Is the Company Behind EDB for PostgreSQL? - **Seller:** [EnterpriseDB (EDB)](https://www.g2.com/sellers/enterprisedb-edb) - **Company Website:** enterprisedb.com - **Year Founded:** 2004 - **HQ Location:** Bedford, US - **Twitter:** @EDBPostgres 8,631 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c7b4321885f510114f67d2e9f2bd87569c6bf97728fec4f70bc410dc5bf21cf3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fedbpostgres%2F&secure%5Burl_type%5D=linkedin_company_website) 1,535 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Database Administrator, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 43% Medium, 30% Large #### What Do G2 Reviewers Say About EDB for PostgreSQL? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **fantastic customer support** from EDB for PostgreSQL, ensuring reliable assistance whenever needed. - Users praise EDB for PostgreSQL's **advanced performance tuning** , enabling efficient handling of large data and high-concurrency workloads. - Users appreciate the **easy migration support** of EDB for PostgreSQL, facilitating smooth transitions from Oracle databases. - Users value the **strong data security** of EDB for PostgreSQL, providing vital protection against threats like SQL injection. - Users value the **enhanced security features** in EDB for PostgreSQL, ensuring robust protection in enterprise environments. ##### Cons - Users find the **licensing and support costs** of EDB for PostgreSQL to be quite high and complex. - Users experience a **steep learning curve** with EDB for PostgreSQL, particularly when dealing with advanced features and configurations. - Users find the **feature limitations** of EDB for PostgreSQL can be costly and complex for smaller teams. - Users often find the **poor documentation** a hurdle, particularly when dealing with connection poolers and updates. - Users experience **pricing confusion** with EDB for PostgreSQL, finding the licensing details unclear and complicated. #### What Are Recent G2 Reviews of EDB for PostgreSQL? **["Enterprise-Ready PostgreSQL with Strong Oracle Compatibility and Security"](https://www.g2.com/survey_responses/edb-for-postgresql-review-13123809)** **Rating:** 5.0/5.0 stars _— Devendra M._ [Read full review](https://www.g2.com/survey_responses/edb-for-postgresql-review-13123809) **["Flexible PostgreSQL with Enterprise Monitoring and Centralized Management"](https://www.g2.com/survey_responses/edb-for-postgresql-review-13166680)** **Rating:** 4.5/5.0 stars _— Ojas E._ [Read full review](https://www.g2.com/survey_responses/edb-for-postgresql-review-13166680) ### [Supabase](https://www.g2.com/products/supabase-supabase/reviews) Supabase is an open-source backend-as-a-service (BaaS) platform that enables developers to build and scale applications efficiently without managing server infrastructure. Launched in 2020 as an alternative to Firebase, Supabase offers a suite of tools including a PostgreSQL database, authentication, real-time subscriptions, and storage capabilities. By leveraging the robustness of PostgreSQL, Supabase provides a scalable and secure foundation for modern web and mobile applications. Key Features and Functionality: - PostgreSQL Database: Each Supabase project includes a dedicated PostgreSQL database, offering full SQL support and advanced features such as JSON handling, full-text search, and vector support. - Instant APIs: Supabase automatically generates RESTful and GraphQL APIs based on your database schema, eliminating the need for manual coding and accelerating development. - Authentication and Authorization: The platform provides built-in user authentication with support for various sign-in methods, including email/password, magic links, and social logins. It also integrates seamlessly with PostgreSQL's Row Level Security for fine-grained access control. - Real-time Capabilities: Supabase enables real-time data synchronization via WebSockets, allowing applications to respond instantly to database changes. - Edge Functions: Developers can deploy serverless functions close to users for low-latency execution, facilitating scalable and efficient backend logic. - File Storage: Supabase offers scalable storage solutions for managing and serving files, complete with configurable access policies to ensure data security. Primary Value and User Solutions: Supabase addresses the challenges developers face in building and scaling applications by providing a comprehensive, open-source backend platform. It eliminates the complexities of managing server infrastructure, allowing developers to focus on creating feature-rich applications. With its real-time capabilities, robust authentication, and seamless integration with PostgreSQL, Supabase empowers developers to build secure, scalable, and responsive applications efficiently. **Average Rating:** 4.6/5.0 **Total Reviews:** 125 #### How Do G2 Users Rate Supabase? - **Ease of Use:** 9.1/10 (Category avg: 8.5/10) - **Workload Management:** 8.3/10 (Category avg: 8.3/10) - **Data Schema:** 9.7/10 (Category avg: 8.6/10) - **Query Language:** 9.2/10 (Category avg: 8.5/10) #### Who Is the Company Behind Supabase? - **Seller:** [Supabase](https://www.g2.com/sellers/supabase) - **Year Founded:** 2020 - **HQ Location:** Global, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=90292f271b5b4feb535f6c4c2b32bb22ad2b1d3a612cb21ca0afc68b74ac3772&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsupabase%2F&secure%5Burl_type%5D=linkedin_company_website) 357 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Founder, Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 73% Small, 22% Medium #### What Do G2 Reviewers Say About Supabase? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Supabase, highlighting its simple setup and user-friendly backend experience. - Users appreciate the **powerful design and intuitive API** of Supabase, making development both easy and enjoyable. - Users find Supabase to be **user-friendly** , appreciating its simplicity, great UI, and seamless integration with tools. - Users find **easy integrations** with Supabase enhance their development experience and streamline project setups effortlessly. - Users appreciate the **seamless integrations** of Supabase, making it easy to connect with various development tools smoothly. ##### Cons - Users find Supabase has **beginner unfriendliness** , as its complexity and limited support hinder novice coders' experience. - Users find the **pricing high** , particularly for premium services that should be accessible to all users. - Users find the **high complexity** of Supabase challenging, particularly for novice coders seeking user-friendly tools. - Users feel Supabase lacks **insufficient guidance** , particularly for novice coders needing better documentation and user-friendliness. - Users find **learning difficulty** with Supabase, especially novices who struggle with complex tools and limited community support. #### What Are Recent G2 Reviews of Supabase? **["Supabase Makes Backend Development Fast and Simple"](https://www.g2.com/survey_responses/supabase-review-13181062)** **Rating:** 4.5/5.0 stars _— Jeni J._ [Read full review](https://www.g2.com/survey_responses/supabase-review-13181062) **["Supabase using vibecoding review"](https://www.g2.com/survey_responses/supabase-review-13176582)** **Rating:** 5.0/5.0 stars _— mIGUEL D._ [Read full review](https://www.g2.com/survey_responses/supabase-review-13176582) ### [Azure SQL Database](https://www.g2.com/products/azure-sql-database/reviews) Azure SQL Database is a fully managed, intelligent relational database service built on the Microsoft SQL Server engine, designed to support modern cloud applications. It offers scalability, high availability, and robust security features, enabling developers to build and maintain applications without the complexities of infrastructure management. Key Features and Functionality: - Hyperscale Storage: Rapidly scale storage resources to meet demand, supporting large databases with up to 100 TB capacity. - Serverless Compute: Automatically adjust compute resources based on workload needs, optimizing performance and cost. - Built-in Intelligence: Utilize AI-driven features for performance tuning, threat detection, and advanced security measures. - High Availability: Ensure business continuity with automatic backups, geo-replication, and a 99.99% uptime SLA. - Advanced Security: Protect data with multi-layered security, including encryption, access controls, and compliance with over 100 certifications. Primary Value and Solutions Provided: Azure SQL Database simplifies database management by automating routine tasks such as patching, backups, and monitoring, allowing developers to focus on application development. Its scalability and performance capabilities support applications of varying sizes, from small web apps to large enterprise solutions. The integration with Azure services and support for AI and machine learning workloads enable the creation of intelligent applications. Additionally, its comprehensive security and compliance features ensure data protection and regulatory adherence, making it a reliable choice for businesses seeking a robust cloud-based database solution. **Average Rating:** 4.5/5.0 **Total Reviews:** 232 #### How Do G2 Users Rate Azure SQL Database? - **Ease of Use:** 8.8/10 (Category avg: 8.5/10) - **Workload Management:** 8.7/10 (Category avg: 8.3/10) - **Data Schema:** 8.9/10 (Category avg: 8.6/10) - **Query Language:** 9.3/10 (Category avg: 8.5/10) #### Who Is the Company Behind Azure SQL Database? - **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft) - **Year Founded:** 1975 - **HQ Location:** Redmond, Washington - **Twitter:** @microsoft 13,091,739 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website) 231,632 employees on LinkedIn® - **Ownership:** MSFT #### Who Uses This Product? - **Who Uses This:** Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 40% Large, 33% Medium #### What Do G2 Reviewers Say About Azure SQL Database? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **scalability** of Azure SQL Database, allowing for effortless database expansion without additional hardware. - Users value the **seamless integrations** of Azure SQL Database, enhancing their experience across various technologies and services. - Users value the **strong security features** of Azure SQL Database, enhancing data protection for their applications. - Users value the **ease of use** of Azure SQL Database, facilitating seamless integration and management for businesses. - Users value the **easy integrations** of Azure SQL Database, enabling seamless connectivity across various technologies for application development. ##### Cons - Users find Azure SQL Database **expensive** , especially for large databases and high-performance requirements, affecting overall value. - Users face **complexity issues** managing Azure SQL Database due to a confusing billing structure and unexpected costs. - Users find the **complexity of cost management** and frequent renaming frustrating, complicating their experience with Azure SQL Database. - Users find **feature limitations** in Azure SQL Database necessitate workarounds and increase complexity, impacting overall usability. - Users note **limited database support** in Azure SQL Database, lacking essential features and user-friendly GUI options for tasks. #### What Are Recent G2 Reviews of Azure SQL Database? **["Hands-Off Scaling and Seamless Azure Integration with Azure SQL Database"](https://www.g2.com/survey_responses/azure-sql-database-review-12828652)** **Rating:** 5.0/5.0 stars _— Bhavana K._ [Read full review](https://www.g2.com/survey_responses/azure-sql-database-review-12828652) **["Effortless Database Management, but Be Mindful of Costs"](https://www.g2.com/survey_responses/azure-sql-database-review-12554681)** **Rating:** 5.0/5.0 stars _— Raziya S._ [Read full review](https://www.g2.com/survey_responses/azure-sql-database-review-12554681) #### What Are G2 Users Discussing About Azure SQL Database? - [What is Azure SQL Database used for?](https://www.g2.com/discussions/what-is-azure-sql-database-used-for) - 3 comments, 1 upvote - [Is Azure SQL Database free?](https://www.g2.com/discussions/is-azure-sql-database-free) - 2 comments - [How will your organization use Azure SQL Database?](https://www.g2.com/discussions/how-will-your-organization-use-azure-sql-database) - [What version of SQL does Azure use?](https://www.g2.com/discussions/what-version-of-sql-does-azure-use) - [What is Azure SQL Database?](https://www.g2.com/discussions/what-is-azure-sql-database) ### [PostgreSQL](https://www.g2.com/products/postgresql/reviews) PostgreSQL is a powerful, open-source object-relational database system renowned for its reliability, extensibility, and adherence to SQL standards. Originating from the POSTGRES project at the University of California at Berkeley in 1986, it has evolved over nearly four decades into a robust platform capable of handling complex data workloads across various operating systems. PostgreSQL's architecture emphasizes data integrity and scalability, making it a preferred choice for developers and organizations worldwide. Key Features and Functionality: - Comprehensive Data Types: Supports a wide range of data types, including primitives (Integer, Numeric, String, Boolean), structured (Date/Time, Array, Range), document (JSON/JSONB, XML), and geometric types. - Advanced Data Integrity: Ensures data accuracy through features like UNIQUE constraints, primary and foreign keys, exclusion constraints, and various locking mechanisms. - High Performance and Concurrency: Utilizes advanced indexing methods (B-tree, GiST, GIN, BRIN), a sophisticated query planner, multi-version concurrency control (MVCC), parallel query execution, and table partitioning to optimize performance. - Reliability and Disaster Recovery: Offers write-ahead logging (WAL), various replication methods (asynchronous, synchronous, logical), point-in-time recovery (PITR), and active standbys to ensure data durability and availability. - Robust Security Measures: Provides multiple authentication methods (GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, OAuth 2.0), a comprehensive access-control system, and supports multi-factor authentication. - Extensibility: Allows the creation of custom data types, functions, and operators. Supports procedural languages like PL/pgSQL, Perl, Python, and Tcl, with additional languages available through extensions. Primary Value and User Solutions: PostgreSQL addresses the needs of developers and organizations by offering a highly extensible and standards-compliant database system that ensures data integrity, scalability, and robust performance. Its open-source nature allows for continuous innovation and adaptability, enabling users to tailor the database to their specific requirements. Whether managing small applications or large-scale enterprise systems, PostgreSQL provides a reliable foundation for storing and processing data efficiently. **Average Rating:** 4.4/5.0 **Total Reviews:** 651 #### How Do G2 Users Rate PostgreSQL? - **Ease of Use:** 8.5/10 (Category avg: 8.5/10) - **Workload Management:** 8.7/10 (Category avg: 8.3/10) - **Data Schema:** 9.1/10 (Category avg: 8.6/10) - **Query Language:** 9.2/10 (Category avg: 8.5/10) #### Who Is the Company Behind PostgreSQL? - **Seller:** [PostgreSQL](https://www.g2.com/sellers/postgresql) - **HQ Location:** United States - **Twitter:** @postgresql 56,876 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f3e672884add8e3d8029fc6568ddbda22bb2e70fc8cc71e62181afce0f2032e5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F758353%2F&secure%5Burl_type%5D=linkedin_company_website) 90 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 36% Small, 35% Medium #### What Do G2 Reviewers Say About PostgreSQL? _AI-generated summary from verified user reviews_ ##### Pros - Users praise PostgreSQL for its **reliability and extensive feature set** , enhancing both performance and user experience. - Users value the **ease of use** of PostgreSQL, appreciating its integration capabilities and straightforward setup. - Users value the **reliability and flexibility** of PostgreSQL, praising its powerful features and open-source advantages. - Users highlight the **incredible reliability** of PostgreSQL, praising its performance, ACID compliance, and data integrity. - Users applaud the **scalability** of PostgreSQL, appreciating its ability to adapt to both small and large projects effortlessly. ##### Cons - Users find PostgreSQL's **beginner unfriendliness** daunting, with a steep learning curve and complex configuration requirements. - Users find the **complexity** of PostgreSQL's management tasks and SQL syntax to be challenging compared to simpler databases. - Users face a **steep learning curve** with PostgreSQL, complicating onboarding and requiring significant time to master. - Users experience **slow performance** with large databases and complex queries, impacting their overall satisfaction. - Users find the **complex configuration** of PostgreSQL challenging, particularly for performance tuning and managing replication. #### What Are Recent G2 Reviews of PostgreSQL? **["Solid relational database for a real-world PHP clinic management system"](https://www.g2.com/survey_responses/postgresql-review-12863394)** **Rating:** 4.5/5.0 stars _— Pramoda H._ [Read full review](https://www.g2.com/survey_responses/postgresql-review-12863394) **["PostgreSQL: Flexible, Reliable, and Easy to Scale"](https://www.g2.com/survey_responses/postgresql-review-12926786)** **Rating:** 5.0/5.0 stars _— Hrithik V._ [Read full review](https://www.g2.com/survey_responses/postgresql-review-12926786) #### What Are G2 Users Discussing About PostgreSQL? - [What is PostgreSQL used for?](https://www.g2.com/discussions/what-is-postgresql-used-for) - 1 comment - [What is special about PostgreSQL?](https://www.g2.com/discussions/what-is-special-about-postgresql) - 1 comment - [Why do we need PostgreSQL?](https://www.g2.com/discussions/why-do-we-need-postgresql) - [What are the advantages and disadvantages of PostgreSQL?](https://www.g2.com/discussions/what-are-the-advantages-and-disadvantages-of-postgresql) - 2 comments - [What programs use PostgreSQL?](https://www.g2.com/discussions/what-programs-use-postgresql) - 1 comment ### [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) Built to run the world’s mission-critical workloads. Designed by the world’s leading database experts, IBM Db2 empowers developers, enterprise architects, and data engineers to run low-latency transactions and real-time analytics equipped for the most demanding workloads. From microservices to AI workloads, Db2 is the tested, resilient, and hybrid database providing the extreme availability, built-in refined security, effortless scalability, and intelligent automation for systems that run the world. **Average Rating:** 4.1/5.0 **Total Reviews:** 598 #### How Do G2 Users Rate IBM Db2? - **Ease of Use:** 8.0/10 (Category avg: 8.5/10) - **Workload Management:** 8.5/10 (Category avg: 8.3/10) - **Data Schema:** 8.6/10 (Category avg: 8.6/10) - **Query Language:** 8.4/10 (Category avg: 8.5/10) #### Who Is the Company Behind IBM Db2? - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity 74,660 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website) 328,202 employees on LinkedIn® - **Ownership:** SWX:IBM #### Who Uses This Product? - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Information Technology and Services, Banking - **Company Size:** 66% Large, 21% Medium #### What Do G2 Reviewers Say About IBM Db2? _AI-generated summary from verified user reviews_ ##### Pros - Users highlight the **exceptional performance** of IBM Db2, praising its reliability and scalability for critical workloads. - Users value the **high reliability** of IBM Db2, ensuring excellent performance and stability for critical workloads. - Users appreciate the **scalability** of IBM Db2, finding it ideal for high-performance, enterprise-level applications. - Users highlight the **strong security** of IBM Db2, making it a reliable choice for critical workloads across industries. - Users appreciate the **ease of use** of IBM Db2, highlighting its seamless integration and user-friendly features. ##### Cons - Users find the **complex setup** of IBM Db2 challenging, often leading to a steep learning curve for effective use. - Users find IBM Db2 to be **expensive** , with high licensing costs and significant resource demands impacting their budget. - Users face a **steep learning curve** with IBM Db2, making setup and administration challenging for newcomers. - Users find IBM Db2's setup **complex** , with a steep learning curve and challenges in documentation and support. - Users find the **difficult setup** of IBM Db2 challenging, citing complexity and steep learning curves as significant barriers. #### What Are Recent G2 Reviews of IBM Db2? **["Rock-Solid Performance, Great Features"](https://www.g2.com/survey_responses/ibm-db2-review-12540353)** **Rating:** 5.0/5.0 stars _— Ramesh Babu C._ [Read full review](https://www.g2.com/survey_responses/ibm-db2-review-12540353) **["Comprehensive Review of DB2 on IBM i (AS/400)"](https://www.g2.com/survey_responses/ibm-db2-review-9863177)** **Rating:** 4.5/5.0 stars _— Swapnil T._ [Read full review](https://www.g2.com/survey_responses/ibm-db2-review-9863177) #### What Are G2 Users Discussing About IBM Db2? - [What is IBM Db2 used for?](https://www.g2.com/discussions/what-is-ibm-db2-used-for) - 1 comment - [What does Ibm Dashdb do?](https://www.g2.com/discussions/what-does-ibm-dashdb-do) - 1 comment - [What database does IBM use?](https://www.g2.com/discussions/what-database-does-ibm-use) - [What is DB2 Warehouse?](https://www.g2.com/discussions/what-is-db2-warehouse) - [What is IBM dashDB?](https://www.g2.com/discussions/what-is-ibm-dashdb) ### [YugabyteDB](https://www.g2.com/products/yugabytedb/reviews) YugabyteDB is AI-ready, turbocharged PostgreSQL for business-critical transactional applications. 100% open source, it offers built-in resilience, on-demand scaling, and more! YugabyteDB eliminates the tradeoffs you get with legacy databases by uniquely combining enterprise-grade RDBMS capabilities with the horizontal scalability and resilience of cloud native architectures. YugabyteDB delivers a single logical database that can span across any cloud (private, public or hybrid). Industry-leading companies including Kroger, GM, Rakuten, Fiserv and Wells Fargo rely on YugabyteDB for mission-critical transactional applications. PostgreSQL Compatibility: YugabyteDB is more than just wire compatible with PostgreSQL, it is code compatible. YugabyteDB achieves this by reusing PostgreSQL’s query layer to achieve a high degree of compatibility with existing PostgreSQL applications or those that can be migrated to PostgreSQL. Developers can be immediately productive with the ecosystem of PostgreSQL-compatible frameworks, applications, drivers, and tools. Advanced Relational Database Capabilities: YugabyteDB delivers a comprehensive set of advanced RDBMS features like triggers, functions, stored procedures, strong secondary indexes, and distributed ACID transactions. This means that developers don't need to choose between the horizontal scalability of NoSQL systems and the ACID guarantees of traditional SQL systems. Resilience and High Availability: With YugabyteDB, critical services remain available during node, zone, region, and data center failures with fast failovers. YugabyteDB heals itself by re-replicating data automatically, and delivers zero downtime on maintenance tasks such as software upgrades, security patching, and distributed backups. Horizontal Scalability: Operations teams can effortlessly scale out even under heavy load without disruption or downtime by simply adding nodes to their YugabyteDB cluster. The database automatically rebalances load to use available resources. YugabyteDB’s shared nothing architecture is designed with no single point of failure or bottleneck. Geographic Distribution: YugabyteDB offers the most comprehensive and flexible deployment options in geo-distributed environments. Operators can make use of synchronous and asynchronous data replication and geo-partitioning to achieve desired consistency, resilience, performance, and compliance objectives. Security: YugabyteDB is built from the ground up with data security in mind. The database enables organizations to maintain a robust security posture with built-in controls such as LDAP authentication, role-based access control (RBAC), data encryption at rest and in transit (TLS), audit logging, and column-level permissions. Advanced features such as row level security (RLS) and column-level encryption are available for more advanced use cases. YugabyteDB is 100% open source, so download and start using the full set of features for free. You can also choose a flexible cloud DBaaS consumption option based on your needs: 1. YugabyteDB Aeon: Start with a free trial and enjoy a fully-managed DBaaS service that allows you to leave the day 2 operations and management work to YugabyteDB. 2. YugabyteDB Anywhere: Deploy a self-managed DBaaS in your environment with built-in automation to deploy, scale, and monitor YugabyteDB clusters at scale. YugabyteDB Voyager is an end-to-end modernization tool that can accelerate your cloud native adoption by simplifying the migration of both schema and data from databases including Oracle, PostgreSQL, MySQL, Aurora PostgreSQL, Azure SQL for PostgreSQL, and more. Learn more about YugabyteDB: https://www.yugabyte.com/ Sign up for YugabyteDB Aeon for free: https://cloud.yugabyte.com/ **Average Rating:** 4.5/5.0 **Total Reviews:** 62 #### How Do G2 Users Rate YugabyteDB? - **Ease of Use:** 9.0/10 (Category avg: 8.5/10) - **Workload Management:** 8.1/10 (Category avg: 8.3/10) - **Data Schema:** 8.6/10 (Category avg: 8.6/10) - **Query Language:** 9.0/10 (Category avg: 8.5/10) #### Who Is the Company Behind YugabyteDB? - **Seller:** [Yugabyte, Inc.](https://www.g2.com/sellers/yugabyte-inc) - **Company Website:** www.yugabyte.com - **Year Founded:** 2016 - **HQ Location:** Sunnyvale, CA - **Twitter:** @Yugabyte 9,272 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0610079f63834a2a85c51161abbc2e3f4f8c02ef33ea548b6e449a1c785255fb&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10643910&secure%5Burl_type%5D=linkedin_company_website) 474 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Financial Services, Computer Software - **Company Size:** 45% Medium, 40% Small #### What Do G2 Reviewers Say About YugabyteDB? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **easy scalability** of YugabyteDB, enabling seamless growth without major downtime or headaches. - Users praise YugabyteDB for its **high reliability** , ensuring data safety and seamless performance even under pressure. - Users value the **high availability** of YugabyteDB, ensuring reliable performance and minimal downtime for critical applications. - Users value the **high availability** of YugabyteDB, enabling seamless performance and minimal downtime for critical workloads. - Users value the **outstanding performance** of YugabyteDB, enjoying scalability and resilience for high-volume applications. ##### Cons - Users find **operational complexity** in YugabyteDB challenging, especially when dealing with distributed systems and advanced features. - Users find the **learning curve steep** due to complex setup and operational requirements for YugabyteDB. - Users find the **complex setup** of YugabyteDB challenging, requiring effort and time compared to simpler databases. - Users find the **complex configuration** challenging, especially when managing distributed clusters as beginners. - Users experience **slow performance** issues with YugabyteDB, complicating data retrieval and overall operational efficiency. #### What Are Recent G2 Reviews of YugabyteDB? **["Good for PostgreSQL scaling, but operational complexity can grow"](https://www.g2.com/survey_responses/yugabytedb-review-7716153)** **Rating:** 4.5/5.0 stars _— Otacilio Pedro S._ [Read full review](https://www.g2.com/survey_responses/yugabytedb-review-7716153) **["Great for Learning Distributed Databases with Real-World Use"](https://www.g2.com/survey_responses/yugabytedb-review-11199640)** **Rating:** 4.5/5.0 stars _— Vikas Kumar S._ [Read full review](https://www.g2.com/survey_responses/yugabytedb-review-11199640) ### [TiDB](https://www.g2.com/products/tidb/reviews) TiDB is an advanced open-source, distributed SQL database solution designed to help data-intensive businesses manage and scale their data operations seamlessly. Developed by PingCAP, TiDB combines the scalability of NoSQL databases with the full functionality of traditional relational database management systems (RDBMS). This unique architecture allows organizations to build petabyte-scale clusters while efficiently handling millions of tables, numerous concurrent connections, and frequent schema changes without experiencing downtime. The target audience for TiDB includes large enterprises, software-as-a-service (SaaS) providers, and digital-native companies that require robust data management capabilities. These organizations often face challenges related to data scalability, operational complexity, and the need for high availability. TiDB addresses these challenges by offering a solution that supports a wide range of workloads, including transactional, analytical, operational, and artificial intelligence (AI) tasks. Its multi-tenant architecture further enhances operational agility, allowing businesses to adapt to changing demands quickly. Key features of TiDB include seamless scalability, which enables organizations to expand their database infrastructure effortlessly as their data needs grow. The platform's MySQL compatibility ensures that developers can easily integrate TiDB into existing workflows and leverage familiar tools and platforms. Additionally, TiDB supports online DDL (Data Definition Language) operations, allowing for worry-free schema changes that do not disrupt ongoing processes. This operational flexibility is critical for businesses that require constant uptime and reliability. TiDB also prioritizes data security and availability, boasting built-in ACID (Atomicity, Consistency, Isolation, Durability) compliance and a remarkable 99.99% availability rate. The database adheres to various regulatory standards, including GDPR, SOC, HIPAA, and PCI, ensuring that organizations can trust their data management practices. Notable companies such as Databricks, Pinterest, and Plaid have adopted TiDB, allowing them to concentrate on growth and innovation rather than the complexities of data infrastructure management. With its AI-driven innovations and multi-cloud capabilities, TiDB stands out as a powerful solution for businesses looking to enhance their data management strategies. By providing unmatched agility, resilience, and security, TiDB empowers organizations to unlock their full potential in an increasingly data-driven world. For more information, please visit TiDB.io. **Average Rating:** 4.6/5.0 **Total Reviews:** 67 #### How Do G2 Users Rate TiDB? - **Ease of Use:** 8.3/10 (Category avg: 8.5/10) - **Workload Management:** 9.0/10 (Category avg: 8.3/10) - **Data Schema:** 9.2/10 (Category avg: 8.6/10) - **Query Language:** 9.3/10 (Category avg: 8.5/10) #### Who Is the Company Behind TiDB? - **Seller:** [PingCAP](https://www.g2.com/sellers/pingcap) - **Company Website:** tidb.io - **Year Founded:** 2015 - **HQ Location:** Sunnyvale - **Twitter:** @PingCAP 7,268 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=97feeff0f3bb4906e69c91330a88caf7e60daa531a2894ebf5640640b4467879&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpingcap&secure%5Burl_type%5D=linkedin_company_website) 501 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** DBA, Senior Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 31% Large, 27% Small #### What Do G2 Reviewers Say About TiDB? _AI-generated summary from verified user reviews_ ##### Pros - Users praise TiDB's **seamless scalability** , allowing efficient data handling and growth without manual intervention. - Users appreciate the **ease of use** of TiDB, enjoying seamless integration and simple deployment across various platforms. - Users appreciate the **horizontal scalability and strong consistency** of TiDB, enhancing their database management experience. - Users value the **MySQL compatibility** of TiDB, facilitating smooth adoption and seamless scaling as data grows. - Users commend TiDB for its **exceptional performance** , handling large data efficiently and supporting real-time analytics seamlessly. ##### Cons - Users find the **steep learning curve** of TiDB particularly challenging when adapting to its distributed architecture and performance tuning. - Users report **performance issues** with TiDB, particularly in TiFlash and overall resource requirements, affecting their development experience. - Users experience **slow performance** with TiDB, especially in smaller environments, impacting overall efficiency and resource utilization. - Users face a **difficult learning** curve with TiDB's distributed architecture, especially regarding performance tuning and compatibility. - Users find TiDB's **poor documentation** complicates understanding complex setups and optimizing features, particularly for beginners. #### What Are Recent G2 Reviews of TiDB? **["TiDB Delivers NoSQL-Scale with SQL Simplicity and MySQL Compatibility"](https://www.g2.com/survey_responses/tidb-review-12342698)** **Rating:** 5.0/5.0 stars _— yugesh K._ [Read full review](https://www.g2.com/survey_responses/tidb-review-12342698) **["Seamless Integration, Reliable and Scalable"](https://www.g2.com/survey_responses/tidb-review-12354194)** **Rating:** 4.5/5.0 stars _— Abhishek ._ [Read full review](https://www.g2.com/survey_responses/tidb-review-12354194) ### [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. Learn more at Teradata.com. **Average Rating:** 4.3/5.0 **Total Reviews:** 356 #### How Do G2 Users Rate Teradata Autonomous Knowledge Platform? - **Ease of Use:** 8.3/10 (Category avg: 8.5/10) - **Workload Management:** 8.9/10 (Category avg: 8.3/10) - **Data Schema:** 8.9/10 (Category avg: 8.6/10) - **Query Language:** 8.8/10 (Category avg: 8.5/10) #### Who Is the Company Behind Teradata Autonomous Knowledge Platform? - **Seller:** [Teradata Autonomous Knowledge Platform](https://www.g2.com/sellers/teradata-autonomous-knowledge-platform) - **Year Founded:** 1979 - **HQ Location:** San Diego, CA - **Twitter:** @Teradata 93,113 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=06895b9a8db4fa478ba7da480ccd214a14ef698abd028e4642e62f189e82b650&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1466%2F&secure%5Burl_type%5D=linkedin_company_website) 9,901 employees on LinkedIn® - **Ownership:** NYSE:TDC #### Who Uses This Product? - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 69% Large, 22% Medium #### What Do G2 Reviewers Say About Teradata Autonomous Knowledge Platform? _AI-generated summary from verified user reviews_ ##### Pros - Users highlight the **extreme performance** of the Teradata Autonomous Knowledge Platform, especially for processing large data volumes efficiently. - Users value the **high performance query execution** in Teradata, enhancing their business analytics capabilities significantly. - Users value the **scalability** of Teradata Autonomous Knowledge Platform, enhancing data integration and operational efficiency significantly. - Users commend the **high performance and speed** of Teradata, efficiently processing large datasets without issues. - Users value the **fast processing of large datasets** with Teradata, praising its performance and stability during operations. ##### Cons - Users find the **steep learning curve** of Teradata Autonomous Knowledge Platform challenging, impacting adoption and productivity temporarily. - Users find the **steep learning curve** of Teradata Autonomous Knowledge Platform challenging, particularly for those lacking technical expertise. - Users find the **complexity** of Teradata's platform challenging, particularly for non-technical users and new adopters. - Users express concerns over the **cost management requirements** needed to avoid potential misusage and performance issues. - Users feel the **high cost** of Teradata Autonomous Knowledge Platform is a significant drawback affecting accessibility. #### What Are Recent G2 Reviews of Teradata Autonomous Knowledge Platform? **["Teradata Vantage Fast Query Performance and Strong Analytics for Big Data"](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12821668)** **Rating:** 5.0/5.0 stars _— Muzammil M._ [Read full review](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12821668) **["Teradata Vantage Excels at Big Data Processing and Advanced Analytics"](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12739181)** **Rating:** 4.5/5.0 stars _— Nijat I._ [Read full review](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12739181) #### What Are G2 Users Discussing About Teradata Autonomous Knowledge Platform? - [What does Teradata Data Lab do?](https://www.g2.com/discussions/what-does-teradata-data-lab-do) - [Is Teradata a premiership?](https://www.g2.com/discussions/is-teradata-a-premiership) - [What is Teradata Vantage?](https://www.g2.com/discussions/what-is-teradata-vantage) - [How much does Teradata cost?](https://www.g2.com/discussions/how-much-does-teradata-cost) - [What is Sandbox in Teradata?](https://www.g2.com/discussions/what-is-sandbox-in-teradata) - ‹ Prev‹ Prev - 1 - [2](/categories/relational-databases?order=g2_score&page=2#product-list) - [3](/categories/relational-databases?order=g2_score&page=3#product-list) - [4](/categories/relational-databases?order=g2_score&page=4#product-list) - [5](/categories/relational-databases?order=g2_score&page=5#product-list) - … - [12](/categories/relational-databases?order=g2_score&page=12#product-list) - [13](/categories/relational-databases?order=g2_score&page=13#product-list) - [Next ›Next ›](/categories/relational-databases?order=g2_score&page=2#product-list) Spotlight Categories [Travel Management Solutions](https://www.g2.com/categories/travel-management) [Survey Software](https://www.g2.com/categories/survey) [Compensation Management Software](https://www.g2.com/categories/compensation-management) [Digital Asset Management Software](https://www.g2.com/categories/digital-asset-management) [SAP Store Software](https://www.g2.com/categories/sap-store) Similar Categories - [NoSQL Databases](/categories/nosql-databases) - [Database Management Systems (DBMS)](/categories/database-management-systems-dbms) - [Big Data](/categories/big-data) - [Database as a Service (DBaaS)](/categories/database-as-a-service-dbaas) - [Database Comparison](/categories/database-comparison) - [Desktop Database](/categories/desktop-database) - [Real-time Analytic Database](/categories/real-time-analytic-database) - [Structured Data Archiving and Application Retirement](/categories/structured-data-archiving-and-application-retirement) - [Time Series Databases](/categories/time-series-databases) - [Vector Database](/categories/vector-database) [Browse Relational Databases Themes](/categories/relational-databases/themes) ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi") SJ Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi) Updated June 9, 2025 This page was last updated on June 9th, 2025 Relational databases store and manage data in a traditional table format, with each piece of data organized into a row and a column. Columns hold the data of a single type or field, like first name, order number, or the image link of a product logo. Rows create the relationship between these data points. For example, rows can associate a first name to a last name and then to a user name, email address, and customer ID. Businesses use relational databases to maintain the data from their applications and ensure they always have access to critical customer information, product data, social data, and financial particulars like purchases, fulfillment, revenue, and expenses. These systems can range from desktop applications that create a small database on your machine to large enterprise-grade data stores. Almost all use a form of SQL as their query language, and most adhere to the ACID set of properties to ensure reliable transactions: atomicity, consistency, isolation, and durability. Relational databases are generally chosen due to their simplicity in comparison to [NoSQL databases](https://www.g2.com/categories/nosql-databases), such as [object-oriented databases](https://www.g2.com/categories/object-oriented-databases), [document databases](https://www.g2.com/categories/document-databases), and [graph databases](https://www.g2.com/categories/graph-databases). Those looking for a relational database solution with little budget also have options with [free database software](https://learn.g2.com/free-database-software). To qualify for inclusion in the Relational Databases category, a product must: - Provide data storage - Organize data in a relational model, formulating a table of rows and columns - Allow users to retrieve, edit, return, or remove data Top Tools at a Glance | | Windows-native transactional databases with Microsoft stack integration | User Review "Makes Data management simpler!!" | | | Mission-critical OLTP with enterprise-grade availability | User Review "Oracle Scales Smoothly for Massive Data and Complex Queries" | | | Real-time analytics on SAP transactional data | User Review "Efficient Transactions, But Time-Intensive Setup" | | | AWS-native relational databases with automated operations | User Review "Streamlined Database Management with Amazon RDS" | | | Fully managed MySQL and PostgreSQL on GCP | User Review "Secure, Highly Available, and Scalable Cloud SQL for Diverse Workloads" | | | Web application backends with PHP integration | User Review "MySQL: Reliable, Fast ETL and Reporting with Powerful SQL" | | | MySQL-compatible cloud databases with automated failover | User Review "Scalable and Efficient, But Costly" | | | Oracle-to-PostgreSQL migration with enterprise support | User Review "Enterprise-Ready PostgreSQL with Strong Oracle Compatibility and Security" | | | Microsoft-native relational workloads with automated infrastructure | User Review "Hands-Off Scaling and Seamless Azure Integration with Azure SQL Database" | * * * Show More * * * ## How Do You Choose the Right Relational Databases? ### What You Should Know About Relational Databases Software ### What is Relational Databases Software? Relational databases organize and maintain data in the form of tables that are by rows and columns, where columns represent a single type of data (e.g., an order date), and rows relate to multiple data types to a single, unique identifier. Each row’s unique identifier is called a primary key. In relational databases, multiple tables can be connected using foreign keys. This allows users to search for a range of interconnected data with ease. Relational databases software facilitates the creation, maintenance, and usage of these tables. These solutions store large volumes of data and allow access to structured data sets efficiently and flexibly.  Relational databases can also be called relational database management systems (RDBMS) or structured query language (SQL) databases. An RDBMS is based on SQL that allows users to update, query, and administer a relational database. SQL is typically the standard programming language used to access a relational database. Relational databases software can read SQL and use SQL syntax or similar. SQL’s syntax is very simplistic, and as such, it is one of the easiest programming languages to access and query relational databases.  #### What Types of Relational Databases Software Exist? From a licensing point of view, relational databases can be categorized under two important types: **Open-source databases** Open-source software make their source code available for anybody to access. The code is open and free for download and modification. **Commercially supported databases** Commercial or proprietary software is solely owned by the entity that developed it. It is made available only under license. Relational databases can be deployed on both cloud and on-premises as far as the buyer complies with the license:  **Cloud** A relational database deployed on the cloud provides an improved infrastructure that lets companies focus more on their strategic work rather than managing a full house of servers on-premises. These solutions provide cost control as organizations pay for what they use. **On-premises or license ** An on-premises data warehouse software lets organizations buy one time, deploy in-house and enable control over their hardware and software infrastructure. This deployment solution requires a consultant to help with installation and ongoing support. One advantage of on-premises relational solutions is that it gives complete control and access over the data within an organization, helping minimize security risks. ### What's the best relational database tool for app development? For those looking to find the best relational database tool for app development, these are some top G2 recommended solutions: - [MySQL](https://www.g2.com/products/mysql/reviews) - [PostgreSQL](https://www.g2.com/products/postgresql/reviews) - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) - [Oracle Database](https://www.g2.com/products/oracle-database/reviews) These relational database tools offer advanced features, open-source options, and scalability for app developers. ### What is an ideal relational database for fast-growing businesses? Depending on your or the company's specific needs, G2 offers a variety of options for your ideal relational database software for fast-growing businesses. Some of these top contenders are: - [Amazon RDS](https://www.g2.com/products/amazon-relational-database-service-rds/reviews): Offers ease of setup, management, and automatic scaling, making it perfect for businesses with fluctuating demands. - [MariaDB](https://www.g2.com/products/mariadb/reviews): Open-sourced, flexible option that's widely supported, easy to use, and ideal for their scalability and cost efficiency. - [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews): A fully managed database service that provides scalability, reliability, and secure access in the cloud. These options are particularly well-suited for businesses anticipating rapid growth. ### What are the Common Features of Relational Databases? The following are some core features within relational databases that can help users store, organize and maintain large data sets at the same time query data using a structured query language: **Data storage:** Allows data to be stored in the form of tables (i.e., rows and columns). It also facilitates a primary key, which helps in the unique identification of the rows. **Data modification:** Allows data update and access to multiple data elements simultaneously. Users can also retrieve data from large volumes of datasets stored in the database using a structured query language. **Database creation and maintenance:** Quickly create brand-new relational databases and modify them with ease. **Indexing:** This feature helps build relationships between data elements via keys and indexes which enables users with ease to access and search the databases. **Scalability:** Relational database solutions grow with data, so the only capacity that’s concerning is physical or cloud storage capacity. **Data security:** Relational database solutions include data security features to protect the data a business stores in its databases.  **Access control** : Relational databases grant administrators complete control over who can access them. Users can be granted access based on their work and requirements.  **OS compatibility:** Relational database solutions are compatible with numerous operating systems, so the user won’t have to worry about the OS when creating databases. **Recovery** : Whether a database needs to be rolled back or outright recovered, some relational database solutions offer recovery features. **Multi-user access:** RDBMS solutions allow multiple users to access databases at a single time. This functionality prevents multiple users from colliding with each other when making updates and also blocks access to partial data entries. Other Features of Relational Databases: [Open source](https://www.g2.com/categories/relational-databases/f/open-source), [Proprietary](https://www.g2.com/categories/relational-databases/f/proprietary) ### What are the Benefits of Relational Databases? RDBMS solutions are built on a specific relational data model which makes it easy for users to access, update and retrieve data from various data sets within the database. This software can help organizations manage large volumes of data sets at the same time and give them the ability to manipulate and maintain them. **Data association:** Relational databases are extremely powerful for storing and retrieving associative data. Be it e-commerce order details, patient information, stock tracking, or something more, relational databases excel in creating meaningful connections between a primary key and the related description. Since they can be uniquely generated, primary key values are typically numbers, and values (e.g., full name, quantity, order date) are associated with that value by being stored in the same row on the table. This massively improves data organization for companies. **Targeted query results:** By using relational database software, businesses can build vast, interconnected databases that quickly return important information, exactly as needed. Relational databases have massive strength in being able to produce query results that span over numerous tables. By using join operations and table aliases, users can query across several tables at once to build an output of the exact data they require. This eliminates the need to store huge quantities of data on a single table. Instead, database administrators can build out as many tables as needed to better organize data, and those tables can be connected by foreign keys if any of the data needs to be associated. **Ease of use:** Relational databases are designed to be easy to build and even easier to use. At a fairly low learning curve, anyone that could make use of relational databases tools would be able to do so with basic training on the software. **Data consistency:** RDBMS is based on the ACID (Atomicity, Consistency, Isolation, and Durability) model which facilitates structured and consistent data sets. **Speed:** The tabular format of relational databases allows quick data retrieval. The standard SQL language used to pull data from databases enables faster data pull. **Better decision-making:** Relational databases facilitate the provision of well-organized data which is up to date as well. This helps organizations make accurate and timely decisions.  ### Who Uses Relational Databases? **Database administrator:** DBAs work towards maintaining the performance and managing the database and the applications connected to them. They are also responsible for the security and integrity of the database as well as any related troubleshoot issues. **Developers:** Developers write codes in various programming languages to interact with databases. They are also responsible for designing and developing new databases. **End users:** They are individuals who perform data manipulation tasks on the databases like update, delete, and more. #### Software Related to Relational Databases Related solutions that can be used together with relational databases include: [NoSQL databases software](https://www.g2.com/categories/nosql-databases) **:** As noted previously, while relational databases solutions excel with structured data, NoSQL databases like object-oriented, document, graph, etc., more effectively store loosely structured and unstructured data. NoSQL database solutions pair well with relational databases software if a company deals with diverse data that can be collected by both structured and unstructured means. [Data warehouse software](https://www.g2.com/categories/data-warehouse) **:** Data warehouse software acts as a single central repository of integrated data from multiple disparate sources that provides business insights with the help of BI Tools. Data warehouses also store data similar to relational databases but the end purpose involves the collection and storing of historical data to perform reporting and data analysis. [Data quality software](https://www.g2.com/categories/data-quality) **:** Relational databases struggle with handling unstructured data, and duplicate or incorrect data can throw off the accuracy of results once data becomes structured. Data quality solutions help clean and structure data, which makes it easier to turn around and create a formal relational database for that data. ### Challenges with Relational Databases Software solutions can come with their own set of challenges.  **Unstructured data:** As noted above, there is a point where relational databases can struggle: handling unstructured data. Relational databases hinge on data being structured to properly create relationships between data points and data tables. If a company uses mostly unstructured data, they should consider perhaps a NoSQL database solution or a data quality software to clean and structure unstructured data. **Query lag**** :** Relational databases can store massive quantities of data, but they run queries a little more slowly on larger data sets. This is mainly due to the sheer volume of data being queried. In situations where queries might traverse significant quantities of data, users can try to query based on specific values whenever possible. Also, querying strings takes significantly longer than querying numerics, so focusing on numerics whenever possible may help improve search times. ### Which Companies Should Buy Relational Databases? What makes relational databases software particularly beneficial is that it’s highly flexible and can be used by many teams throughout a company. Below are some examples: **Finance and accounting:** Relational databases can be used to track payments and dues by associating a vendor ID, customer ID, or other unique identifiers to payment dates, payment amounts, check or order numbers, and more. All of this can be easily queried through relational database tools, and a complete transactional record can be created in a matter of minutes or even seconds. The ability to organize or isolate this data by, say, transaction date or personnel can greatly improve efficiency. **E-commerce:** Internet prevalence and ease of use has made online ordering, from food to clothes or machinery, not only simple but very widely used. Relational databases can store vast transactional data, including order date/time, customer name, payment method used, customer location, and more. Verifying an order’s correctness is a query away. Additional benefits for e-commerce come in that relational databases can store incredible volumes of information. Individual tables can store millions upon millions of entries at once without harming workflow. **Healthcare:** Relational database tools offer immense value in health care because of the ability to relate so many data points to a single unique identifier. In health care, patients have a number of data points to describe their condition, including age, weight, blood pressure, and others. By being able to associate all of those data points to a single unique identifier (e.g., a person’s patient ID), health care professionals—doctors, nurses, lab techs, database admins, and more—can have quick access to any relevant data. ### How to Buy Relational Databases #### Requirements Gathering (RFI/RFP) for Relational Databases If a company is just starting and looking to purchase their first relational database solution, or maybe an organization needs to update a legacy system--wherever a business is in its buying process, G2.com can help select the best relational database software for the business. The particular business pain points might be related to storing and managing large volumes of data sets within an organization. If the company has amassed a lot of data, the need is to look for a solution that can help organize and structure that data to manage it. Users should think about the pain points and jot them down; these should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees who will need to use this software, as this drives the number of licenses they are likely to buy. Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist serves as a detailed guide that includes both necessary and nice-to-have features including a budget, features, number of users, integrations, security requirements, cloud or on-premises solutions, and more. Depending on the scope of the deployment, it might be helpful to produce an RFI, a one-page list with a few bullet points describing what is needed from a data warehouse software. #### Compare Relational Databases Products **Create a long list** From meeting the business functionality needs to implementation, vendor evaluations are an essential part of the software buying process. For ease of comparison after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor. **Create a shortlist** From the long list of vendors, it is helpful to narrow down the list of vendors and come up with a shorter list of contenders, preferably no more than three to five. With this list in hand, businesses can produce a matrix to compare the features and pricing of the various solutions. **Conduct demos** To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and datasets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition.  #### Selection of Relational Databases **Choose a selection team** Before getting started, it's crucial to create a winning team that will work together throughout the entire process, from identifying pain points to implementation. The software selection team should consist of members of the organization who have the right interest, skills, and time to participate in this process. A good starting point is to aim for three to five people who fill roles such as the main decision maker, project manager, process owner, system owner, or staffing subject matter expert, as well as a technical lead, IT administrator, or security administrator. In smaller companies, the vendor selection team may be smaller, with fewer participants multitasking and taking on more responsibilities. **Negotiation** Just because something is written on a company’s pricing page, does not mean it is final (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to give a discount for multi-year contracts or for recommending the product to others. **Final decision** After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and well-received, the buyer can be confident that the selection was correct. If not, it might be time to go back to the drawing board. ### What Does Relational Databases Cost? There are a couple of robust relational databases that are available for free in the market. There are typically two pricing models, one where users pay only for what they use, and in the other one, users pay a one-time license fee.  ### Relational Databases Trends **Databases and data aggregation** The debate continues on the use of relational databases solutions versus NoSQL databases as the better business solution, as data aggregation continues to rise in the business world. Data-driven products and services require immense data backing now, and the debate is on the best way to store that data. In reality, the two database types should be used together. While relational databases excel in structured data storage, NoSQL databases—non-relational databases—shine when there’s no real structure to how data should be collected and stored. Both relational and non-relational databases can scale quite easily, given the right software supporting them. This shouldn’t be a debate, but a collaboration. Thus, bridging the gap between SQL/NoSQL to let them work together. **Big data** Data has become the backbone of conducting business in the information age. As data drives business decisions and trends, the data must be digestible, easy to follow, and easy to reference. That’s why big data software mostly falls back on relational database solutions. Designed with strict organization, referencing, and referral in mind, relational databases can absorb and store massive amounts of data to be later digested in the decision-making process.