# Best Database as a Service (DBaaS) Providers for Small Business - Page 2

  *By [Rachana Hasyagar](https://research.g2.com/insights/author/rachana-hasyagar)*

   Products classified in the overall Database as a Service (DBaaS) category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Database as a Service (DBaaS) to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Database as a Service (DBaaS) category.

In addition to qualifying for inclusion in the Database as a Service (DBaaS) Providers category, to qualify for inclusion in the Small Business Database as a Service (DBaaS) Providers category, a product must have at least 10 reviews left by a reviewer from a small business.




  ## How Many Database as a Service (DBaaS) Providers Products Does G2 Track?
**Total Products under this Category:** 143

  
## How Does G2 Rank Database as a Service (DBaaS) Providers Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 10,600+ Authentic Reviews
- 143+ 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.

  
  
---

**Sponsored**

### Kintone

Kintone is a no-code business application platform designed to empower non-technical users to create robust applications, workflows, and databases tailored to their teams and organizations. By utilizing a user-friendly interface that emphasizes clicks over coding, Kintone enables individuals to develop applications that streamline business processes, enhance collaboration on projects and tasks, and facilitate the reporting of complex data with ease. This platform is particularly beneficial for business users who require immediate solutions without the need for extensive programming knowledge. Kintone offers a wide array of pre-built applications that cater to various use cases, including customer relationship management (CRM), project management, inventory management, and more. These templates allow users to hit the ground running and adapt the applications to their specific needs, significantly reducing the time and effort required to implement new systems. Kintone's target audience includes small to medium-sized businesses, project managers, team leaders, and any professional looking to optimize their workflow without relying on IT departments or external developers. The no-code approach democratizes app development, allowing users from diverse backgrounds to participate in creating solutions that address their unique challenges. This inclusivity fosters a culture of innovation within organizations, as team members can contribute ideas and improvements based on their firsthand experiences. Key features of Kintone include customizable dashboards, automated workflows, and real-time collaboration tools. Users can design dashboards that provide insights into their projects and data at a glance, while automated workflows help eliminate repetitive tasks, ensuring that team members can focus on higher-value activities. The platform also supports real-time collaboration, enabling teams to work together seamlessly, share updates, and track progress on projects without the need for constant meetings or email exchanges. Kintone stands out in the no-code platform category by offering a flexible and scalable solution that grows with organizations. Its ability to integrate with other tools and services further enhances its functionality, allowing users to create a comprehensive ecosystem that meets their evolving business needs. By providing a powerful yet accessible platform for app development, Kintone empowers users to take control of their workflows and drive efficiency within their teams.



[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=318&secure%5Bdisplayable_resource_id%5D=318&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=318&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=16406&secure%5Bresource_id%5D=318&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdatabase-as-a-service-dbaas&secure%5Btoken%5D=838c499ef17eb0fa0254db17fd1ae8dd73184c5b21ab1372c038efc3fb1b67ee&secure%5Burl%5D=https%3A%2F%2Fwww.kintone.com%2Fdatabase-management-software%2F%3Futm_campaign%3DG2%2520Database%26utm_source%3DG2%26utm_medium%3DCPC%26utm_content%3DDatabase_CTA&secure%5Burl_type%5D=custom_url)

---

  ## What Are the Top-Rated Database as a Service (DBaaS) Providers Products in 2026?
### 1. [SAP HEC (HANA Enterprise Cloud)](https://www.g2.com/products/sap-hec-hana-enterprise-cloud/reviews)
  SAP HANA Enterprise Cloud is the only end-to-end solution of its kind, delivering comprehensive cloud infrastructure and managed services for our in-memory applications, database, and platform.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 88
**How Do G2 Users Rate SAP HEC (HANA Enterprise Cloud)?**

- **Application Performance:** 9.1/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.1/10 (Category avg: 8.8/10)
- **Scalability:** 9.4/10 (Category avg: 8.9/10)
- **Provisioning:** 9.2/10 (Category avg: 8.7/10)

**Who Is the Company Behind SAP HEC (HANA Enterprise Cloud)?**

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP (297,228 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/sap/ (141,341 employees on LinkedIn®)
- **Ownership:** NYSE:SAP

**Who Uses This Product?**
  - **Who Uses This:** SAP Consultant
  - **Top Industries:** Information Technology and Services, Logistics and Supply Chain
  - **Company Size:** 42% Enterprise, 30% Mid-Market


### 2. [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?**

- **Application Performance:** 8.5/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.0/10 (Category avg: 8.8/10)
- **Scalability:** 8.9/10 (Category avg: 8.9/10)
- **Provisioning:** 8.6/10 (Category avg: 8.7/10)

**Who Is the Company Behind IBM Db2?**

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, NY
- **Twitter:** @IBM (709,223 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (324,553 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% Enterprise, 21% Mid-Market


#### What Are IBM Db2's Pros and Cons?

**Pros:**

- Performance (14 reviews)
- Reliability (13 reviews)
- Scalability (11 reviews)
- Security (11 reviews)
- Ease of Use (10 reviews)

**Cons:**

- Complex Setup (4 reviews)
- Expensive (4 reviews)
- Learning Curve (4 reviews)
- Complexity (3 reviews)
- Difficult Setup (3 reviews)

### 3. [Arango](https://www.g2.com/products/arango/reviews)
  Arango provides a trusted data foundation for Contextual AI — transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimited scale and cost efficiency. The Arango AI Data Platform gives developers a single, integrated environment to build and scale AI-powered applications without the complexity of stitching together multiple databases and tools. At its core is a massively scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial, and vector search — creating the System of Context, the bridge between enterprise data and LLMs. The Arango AI Suite includes automated data pipelines, multimodal data ingestion, AIOps and MLOps, LLM integrations, Graph Analytics, agentic frameworks for context-aware Hybrid/GraphRAG, GraphML, natural-language support, and GPU acceleration — enabling repeatable ROI and faster innovation. Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, Siemens, Synopsys and Articul8, Arango powers enterprise AI with context, confidence, and scale. We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, YouTube, and G2.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 115
**How Do G2 Users Rate Arango?**

- **Application Performance:** 8.4/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.9/10 (Category avg: 8.8/10)
- **Scalability:** 8.8/10 (Category avg: 8.9/10)
- **Provisioning:** 7.5/10 (Category avg: 8.7/10)

**Who Is the Company Behind Arango?**

- **Seller:** [Arango](https://www.g2.com/sellers/arango)
- **Company Website:** https://arango.ai/
- **Year Founded:** 2015
- **HQ Location:** San Francisco, CA
- **LinkedIn® Page:** https://www.linkedin.com/company/5289249/ (106 employees on LinkedIn®)

**Who Uses This Product?**
  - **Who Uses This:** Senior Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 57% Small-Business, 23% Mid-Market


#### What Are Arango's Pros and Cons?

**Pros:**

- Ease of Use (14 reviews)
- Features (10 reviews)
- Querying (7 reviews)
- Intuitive (6 reviews)
- Customization (5 reviews)

**Cons:**

- Poor Usability (5 reviews)
- Difficult Learning (4 reviews)
- Improvement Needed (4 reviews)
- Learning Curve (4 reviews)
- Learning Difficulty (4 reviews)

### 4. [Couchbase](https://www.g2.com/products/couchbase/reviews)
  Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 142
**How Do G2 Users Rate Couchbase?**

- **Application Performance:** 8.3/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.4/10 (Category avg: 8.8/10)
- **Scalability:** 8.3/10 (Category avg: 8.9/10)
- **Provisioning:** 8.3/10 (Category avg: 8.7/10)

**Who Is the Company Behind Couchbase?**

- **Seller:** [Couchbase](https://www.g2.com/sellers/couchbase)
- **Company Website:** https://www.couchbase.com/
- **Year Founded:** 2009
- **HQ Location:** San Jose, CA
- **Twitter:** @couchbase (136,314 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1866670/ (859 employees on LinkedIn®)

**Who Uses This Product?**
  - **Who Uses This:** Senior Software Engineer, Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 39% Small-Business, 34% Enterprise


#### What Are Couchbase's Pros and Cons?

**Pros:**

- Ease of Use (5 reviews)
- Ease of Setup (3 reviews)
- Scalability (2 reviews)
- Search Efficiency (2 reviews)
- Speed (2 reviews)

**Cons:**

- Complexity (2 reviews)
- Difficult Learning (2 reviews)
- Complex Configuration (1 reviews)
- Data Management (1 reviews)
- High Memory Usage (1 reviews)

### 5. [IBM Cloudant](https://www.g2.com/products/ibm-cloudant/reviews)
  Fully Managed — IBM Cloud service provides a fully managed, distributed JSON document database. Instantly deploy an instance, create databases, and independently scale throughput capacity and data storage to meet your application requirements. IBM expertise takes away the pain of hardware and software provisioning, patching and upgrades, while offering a 99.95 percent SLA. Secure — Cloudant is ISO27001, SOC 2 Type 2 compliant and HIPAA ready. All data is encrypted over the wire and at rest with optional user-defined key management through IBM Key Protect. Cloudant also offers an EU-managed service, that ensures all data and operations are handled solely by EU citizens. Global Availability — Available in all IBM Cloud regions and 55+ data centers across the world, Cloudant can easily be set up for disaster recovery between continents or scaling an app for a global release through a horizontal scaling architecture that can handle millions of users and terabytes of data to grow seamlessly alongside your business. All Cloudant instances are deployed on clusters that span availability zones in regions that support them, for added durability at no extra cost. Data flexibility — Leverage a flexible JSON schema and powerful API that is compatible with Apache CouchDB™, enabling you to access an abundance of language libraries and tools to rapidly build new applications and features. Durable replication — Move application data closer to all the places it needs to be — for uninterrupted data access, offline or on. Cloudant helps teams build Progressive Web Apps, develop with an offline-first architecture or manipulate data on edge devices. Powerful serverless API — Enhance your applications with built-in key-value, MapReduce, full-text search and geospatial querying that go beyond simple bounding boxes. Stream the changes feed for seamless integration with event-driven applications and IBM Cloud functions.


  **Average Rating:** 3.8/5.0
  **Total Reviews:** 39
**How Do G2 Users Rate IBM Cloudant?**

- **Application Performance:** 8.2/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.6/10 (Category avg: 8.8/10)
- **Scalability:** 8.9/10 (Category avg: 8.9/10)
- **Provisioning:** 8.9/10 (Category avg: 8.7/10)

**Who Is the Company Behind IBM Cloudant?**

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, NY
- **Twitter:** @IBM (709,223 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (324,553 employees on LinkedIn®)
- **Ownership:** SWX:IBM

**Who Uses This Product?**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 48% Small-Business, 31% Enterprise


### 6. [Amazon DocumentDB](https://www.g2.com/products/amazon-documentdb/reviews)
  Amazon DocumentDB (with MongoDB compatibility) is a database service that is purpose-built for JSON data management at scale, fully managed and integrated with AWS, and enterprise-ready with high durability. Amazon DocumentDB is designed from the ground-up to give you the scalability and durability you need when operating mission-critical MongoDB workloads. In Amazon DocumentDB, storage scales automatically up to 64TiB without any impact to your application. It supports millions of requests per second with up to 15 low latency read replicas in minutes, without any application downtime, regardless of the size of your data. Amazon DocumentDB now supports Global Clusters. Global Clusters is a new feature that provides disaster recovery from region-wide outages and enables low-latency global reads by allowing reads from the nearest Amazon DocumentDB cluster. Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs). You can use AWS Database Migration Service (DMS) for free (for six months) to easily migrate your self-managed MongoDB databases to Amazon DocumentDB with virtually no downtime.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 42
**How Do G2 Users Rate Amazon DocumentDB?**

- **Application Performance:** 9.3/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.6/10 (Category avg: 8.8/10)
- **Scalability:** 9.4/10 (Category avg: 8.9/10)
- **Provisioning:** 9.2/10 (Category avg: 8.7/10)

**Who Is the Company Behind Amazon DocumentDB?**

- **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 (2,227,557 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Who Uses This Product?**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 39% Small-Business, 34% Enterprise


#### What Are Amazon DocumentDB's Pros and Cons?

**Pros:**

- Cloud Computing (1 reviews)
- Easy Integrations (1 reviews)
- Integrations (1 reviews)
- Reliability (1 reviews)

**Cons:**

- Complexity (1 reviews)
- Dependency Issues (1 reviews)
- Expensive (1 reviews)

### 7. [Zoho Creator](https://www.g2.com/products/zoho-creator/reviews)
  Zoho Creator is an AI-powered low-code platform that helps companies build powerful mobile and web applications tailored to their unique needs. From startups to large enterprises, businesses use Zoho Creator to automate processes, modernize legacy systems, and accelerate digital transformation, all without extensive coding. With Zoho Creator, you can create forms, collect data, automate workflows, generate reports, and build dashboards. The platform integrates AI, business intelligence, and advanced analytics to provide meaningful insights. Its unified data model and auto-scaling infrastructure ensure reliable performance as your business grows. With this multiplatform builder, you can design applications that run natively across web, mobile, and tablet devices, all from a single build. You can also seamlessly integrate your apps with existing systems like ERPs, accounting software, inventory platforms, IoT devices, and other cloud tools to create a connected ecosystem. Create apps that work the way you work. Try Zoho Creator for free!


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 154
**How Do G2 Users Rate Zoho Creator?**

- **Application Performance:** 8.9/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.5/10 (Category avg: 8.8/10)
- **Scalability:** 8.8/10 (Category avg: 8.9/10)
- **Provisioning:** 8.7/10 (Category avg: 8.7/10)

**Who Is the Company Behind Zoho Creator?**

- **Seller:** [Zoho](https://www.g2.com/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704)
- **Year Founded:** 1996
- **HQ Location:** Austin, TX
- **Twitter:** @Zoho (137,412 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/38373/ (30,531 employees on LinkedIn®)
- **Phone:** +1 (888) 900-9646 

**Who Uses This Product?**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 48% Small-Business, 42% Mid-Market


#### What Are Zoho Creator's Pros and Cons?

**Pros:**

- Integrations (7 reviews)
- Ease of Use (5 reviews)
- Easy Integrations (4 reviews)
- Collaboration (3 reviews)
- Features (3 reviews)

**Cons:**

- Complexity (3 reviews)
- Learning Curve (3 reviews)
- Limited Customization (3 reviews)
- Poor Customer Support (3 reviews)
- Customization Difficulty (2 reviews)

### 8. [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews)
  Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables developers to build AI-powered applications and agents by providing seamless integration with AI services, allowing for efficient storage and querying of both NoSQL data and vectors. With its schema-agnostic JSON document model, Azure Cosmos DB simplifies the development process by automatically indexing all data, eliminating the need for manual schema or index management. The service offers comprehensive Service Level Agreements (SLAs), ensuring less than 10-millisecond read and write latencies and 99.999% availability, making it a reliable choice for applications requiring high performance and global reach. Key Features and Functionality: - Global Distribution: Azure Cosmos DB allows for turnkey global distribution, enabling data to be replicated across multiple regions worldwide, providing high availability and low latency access to data. - Elastic Scalability: The service offers elastic scaling of throughput and storage, allowing developers to scale resources up or down based on demand without downtime. - Multi-Model Support: It natively supports multiple data models, including document, key-value, graph, and column-family, catering to diverse application needs. - AI Integration: Built-in vector search capabilities simplify the development of AI applications by efficiently storing and querying vectors alongside NoSQL data. - Automatic Indexing: All data is automatically indexed, facilitating fast and efficient queries without the need for manual index management. - Comprehensive SLAs: Azure Cosmos DB provides industry-leading SLAs covering throughput, latency, availability, and consistency, ensuring predictable performance. Primary Value and Solutions Provided: Azure Cosmos DB addresses the challenges of building and managing globally distributed applications by offering a fully managed database service that ensures high availability, low latency, and elastic scalability. Its integration with AI services and support for multiple data models empower developers to create intelligent, responsive applications without the complexity of managing infrastructure. By automatically handling data distribution, scaling, and indexing, Azure Cosmos DB allows organizations to focus on innovation and delivering value to their users, making it an ideal solution for applications requiring real-time data access and global reach.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 59
**How Do G2 Users Rate Azure Cosmos DB?**

- **Application Performance:** 8.6/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.2/10 (Category avg: 8.8/10)
- **Scalability:** 8.9/10 (Category avg: 8.9/10)
- **Provisioning:** 8.4/10 (Category avg: 8.7/10)

**Who Is the Company Behind Azure Cosmos DB?**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,115,342 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®)
- **Ownership:** MSFT

**Who Uses This Product?**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 44% Enterprise, 28% Mid-Market


#### What Are Azure Cosmos DB's Pros and Cons?

**Pros:**

- Ease of Use (4 reviews)
- Features (3 reviews)
- Integrations (3 reviews)
- Scalability (3 reviews)
- Customization (2 reviews)

**Cons:**

- Expensive (3 reviews)
- Cost Issues (2 reviews)
- Complexity Issues (1 reviews)
- Complex Usage (1 reviews)
- Cost Increase (1 reviews)

### 9. [Neo4j Graph Database](https://www.g2.com/products/neo4j-graph-database/reviews)
  The fastest path to graph. Centered around the leading native graph database, today's Neo4j Graph Data Platform is a suite of applications and tools helping the world make sense of data. The Platform includes the Neo4j Graph Data Science Library – the leading enterprise-ready analytics workspace for graph data available as both open source and through a commercial license for enterprises – the graph visualization and exploration tool Bloom, the Cypher query language - very easy to learn and can operate across Neo4j, Apache Spark and Gremlin-based products using open source toolkits: "Cypher on Apache Spark (CApS) and Cypher for Gremlin.), Neo4j ETL and Kettle for data integration, and numerous additional tools, integrations and connectors to help developers and data scientists build graph-based solutions with ease. And the world's largest community to help enable any graph journey. Neo4j is the leading scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 131
**How Do G2 Users Rate Neo4j Graph Database?**

- **Application Performance:** 8.9/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.2/10 (Category avg: 8.8/10)
- **Scalability:** 9.4/10 (Category avg: 8.9/10)
- **Provisioning:** 7.5/10 (Category avg: 8.7/10)

**Who Is the Company Behind Neo4j Graph Database?**

- **Seller:** [Neo4j](https://www.g2.com/sellers/neo4j)
- **Year Founded:** 2007
- **HQ Location:** San Mateo, CA
- **Twitter:** @neo4j (46,979 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/neo4j/ (996 employees on LinkedIn®)

**Who Uses This Product?**
  - **Who Uses This:** Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 44% Small-Business, 30% Mid-Market


#### What Are Neo4j Graph Database's Pros and Cons?

**Pros:**

- Ease of Use (2 reviews)
- Features (2 reviews)
- Database Management (1 reviews)
- Design Flexibility (1 reviews)
- Flexibility (1 reviews)

**Cons:**

- Learning Curve (2 reviews)
- Backup Issues (1 reviews)
- Data Management Issues (1 reviews)
- Difficult Learning (1 reviews)
- Import Issues (1 reviews)

### 10. [Tiger Data](https://www.g2.com/products/tiger-data/reviews)
  Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of history, all queryable in standard SQL. For IoT, Web3, and AI. Why teams choose Tiger Data: - Trusted by thousands of developers. 3M+ active databases, 2k+ customers - Up to 95% Compression. Keep years of history online at a fraction of the cost. - Production-ready without the operational pain. Multi-AZ HA, PITR, cross-region backups, SOC 2/HIPAA/GDPR, deep observability. - Scale effortlessly. Disaggregated compute & storage. Never pay for idle capacity. - Unified data architecture. Connect any data source and automatically sync it between your operational database, and data lake. - Hyperscaler procurement. Available on AWS Marketplace and Azure Marketplace. Key capabilities: - Automatic partitioning Ingest millions of data points per second without manual table management or sharding. - Incremental materialized views Precompute and cache rollups for instant dashboards and APIs. - Hybrid row/column storage Fast writes, compressed reads, optimized for real-time and historical queries. - Compression (up to 95%) Columnar encodings apply filters & aggregates directly on compressed data for faster queries and big savings. - Tiered Storage Automatically move older or less-frequently accessed data to low-cost object storage while keeping it fully queryable through the same SQL interface. - Fully managed Postgres Cloud Scale compute and storage independently, tier S3 storage to manage costs, deploy globally, and skip database ops. Industry verticals: Developers and platform teams in Industrial IoT, manufacturing, Crypto, SaaS/ML and DevOps tooling rely on Tiger to combine operational and historical data for real-time dashboards and mission-critical insights, queryable in standard-SQL. How to get started: Try Tiger Cloud for 1-month free with no credit card needed, or use us indefinitely as part of our free plan. Get started now - https://console.cloud.timescale.com/signup?utm\_source=g2&utm\_medium=referral&utm\_campaign=free-trial-g2


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 33
**How Do G2 Users Rate Tiger Data?**

- **Application Performance:** 8.6/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.0/10 (Category avg: 8.8/10)
- **Scalability:** 8.9/10 (Category avg: 8.9/10)
- **Provisioning:** 8.3/10 (Category avg: 8.7/10)

**Who Is the Company Behind Tiger Data?**

- **Seller:** [Tiger Data (creators of TimescaleDB)](https://www.g2.com/sellers/tiger-data-creators-of-timescaledb)
- **Company Website:** https://www.tigerdata.com/
- **Year Founded:** 2015
- **HQ Location:** New York, New York
- **Twitter:** @TigerDatabase (1,313 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/timescaledb/ (43 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Computer Software, Financial Services
  - **Company Size:** 79% Small-Business, 18% Mid-Market


#### What Are Tiger Data's Pros and Cons?

**Pros:**

- Ease of Use (8 reviews)
- Easy Setup (5 reviews)
- Setup Ease (5 reviews)
- Analytics (4 reviews)
- Performance (4 reviews)

**Cons:**

- Expensive (4 reviews)
- Expensive Licensing (3 reviews)
- Missing Features (3 reviews)
- Poor UI (3 reviews)
- Slow Performance (3 reviews)

### 11. [Google Cloud BigTable](https://www.g2.com/products/google-cloud-bigtable/reviews)
  Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 37
**How Do G2 Users Rate Google Cloud BigTable?**

- **Application Performance:** 8.2/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.4/10 (Category avg: 8.8/10)
- **Scalability:** 8.6/10 (Category avg: 8.9/10)
- **Provisioning:** 7.8/10 (Category avg: 8.7/10)

**Who Is the Company Behind Google Cloud BigTable?**

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google (31,911,199 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®)
- **Ownership:** NASDAQ:GOOG

**Who Uses This Product?**
  - **Company Size:** 41% Mid-Market, 32% Enterprise


#### What Are Google Cloud BigTable's Pros and Cons?

**Pros:**

- Cloud Storage (8 reviews)
- Ease of Use (4 reviews)
- Integrations (4 reviews)
- Application Development (3 reviews)
- Data Analytics (3 reviews)

**Cons:**

- Cost Issues (5 reviews)
- Expensive (4 reviews)
- Billing Issues (2 reviews)
- Complexity (2 reviews)
- Learning Difficulty (2 reviews)

### 12. [Fauna](https://www.g2.com/products/fauna-fauna/reviews)
  Fauna is a truly serverless operational database that empowers teams to ship applications faster. It combines the flexibility of a document model with the strong consistency and rich querying power of relational systems—all built on a serverless, distributed architecture that scales automatically, without the complexity of manual provisioning, sharding, or replication. Over 80,000 development teams choose Fauna to build and scale modern transactional applications including teams from Tyson Foods, Unilever, Lexmark, Intelliculture, Hannon Hill, Cloaked, DTLR, and Insights.gg.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 25
**How Do G2 Users Rate Fauna?**

- **Application Performance:** 8.8/10 (Category avg: 8.9/10)
- **Ease of Use:** 7.6/10 (Category avg: 8.8/10)
- **Scalability:** 9.3/10 (Category avg: 8.9/10)
- **Provisioning:** 8.5/10 (Category avg: 8.7/10)

**Who Is the Company Behind Fauna?**

- **Seller:** [Fauna](https://www.g2.com/sellers/fauna)
- **Year Founded:** 2015
- **HQ Location:** San Francisco, CA
- **Twitter:** @fauna (93,224 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/faunadb/ (11 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 64% Small-Business, 24% Mid-Market


#### What Are Fauna's Pros and Cons?

**Pros:**

- Scalability (6 reviews)
- Ease of Use (5 reviews)
- Flexibility (4 reviews)
- Customer Support (3 reviews)
- Easy Integrations (3 reviews)

**Cons:**

- Difficult Learning (3 reviews)
- Poor Documentation (2 reviews)
- Complexity (1 reviews)
- Complex Setup (1 reviews)
- Cost Issues (1 reviews)

### 13. [CrateDB](https://www.g2.com/products/cratedb/reviews)
  The real-time database for analytics, search, and AI. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distributed and containerized database that runs queries in milliseconds, regardless of data complexity, volume and velocity.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 82
**How Do G2 Users Rate CrateDB?**

- **Application Performance:** 9.0/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.9/10 (Category avg: 8.8/10)
- **Scalability:** 9.3/10 (Category avg: 8.9/10)
- **Provisioning:** 8.9/10 (Category avg: 8.7/10)

**Who Is the Company Behind CrateDB?**

- **Seller:** [CrateDB](https://www.g2.com/sellers/cratedb)
- **Company Website:** https://cratedb.com/
- **Year Founded:** 2013
- **HQ Location:** Redwood City, CA
- **Twitter:** @cratedb (4,178 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/crateio/ (44 employees on LinkedIn®)

**Who Uses This Product?**
  - **Who Uses This:** Software Engineer, Data Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 54% Small-Business, 31% Mid-Market


#### What Are CrateDB's Pros and Cons?

**Pros:**

- Ease of Use (12 reviews)
- SQL Usage (11 reviews)
- Easy Integrations (10 reviews)
- Flexibility (10 reviews)
- Features (9 reviews)

**Cons:**

- Lack of Features (5 reviews)
- Software Limitations (4 reviews)
- Limited Features (3 reviews)
- Poor Documentation (3 reviews)
- Complex Configuration (2 reviews)


    ## What Is Database as a Service (DBaaS) Providers?
  [Database Software](https://www.g2.com/categories/database-software)
  ## What Software Categories Are Similar to Database as a Service (DBaaS) Providers?
    - [Relational Databases](https://www.g2.com/categories/relational-databases)
    - [Document Databases](https://www.g2.com/categories/document-databases)
    - [Key Value Databases](https://www.g2.com/categories/key-value-databases)

  
---

## How Do You Choose the Right Database as a Service (DBaaS) Providers?

### What You Should Know About Database as a Service (DBaaS)

### What is Database as a Service (DBaaS)? 

Database as a Service (DBaaS) is the software used to set up, operate, and scale databases in the cloud. Users can access a cloud database system without having to purchase hardware, install additional software, or even manage the database themselves. All these activities are done by the DBaaS provider, including upgrades, new software additions, availability of the database at all times, and downtime minimization. A few minutes of deployment time could replace weeks of time for development and installation work. DBaaS has been growing in popularity since it allows customers to focus on business operations and decisions. 

The DBaaS software will manage runtime environment, OS, middleware, servers, storage, networking capabilities, and virtualization, whereas the customer needs to manage applications and data. In an on-premise environment, a customer needs to handle all the components mentioned above.

**Evolution of DBaaS**

Companies spent their finances to get servers, storage, database management systems, and any other hardware that would be installed and located within their own data center. Along with infrastructure costs, training for IT staff on this hardware was required. Additional costs such as maintenance and licensing all led to a very high total cost of ownership (TCO) for the vendor. Companies were so busy focusing on developing their data centers that several ended up forgetting the reasons they were installed in the first place—to streamline business processes and make data-driven decisions. IT administrators would take a long time to troubleshoot and fix errors, and these would often cause downtimes and delays affecting the entire business. Considering these exorbitant costs, SME or SMBs would find it extremely difficult to invest in such requirements.

As these issues grew along with the time and cost, companies realized a need for a more efficient process in place. The focus was now on automating tasks—virtualization, containerization, and several other technologies grew significantly. Finally, with the advent of cloud computing databases being offered as a service not only by some of the largest cloud providers (such as Amazon Relational Database Service, IBM Db2, Azure SQL Database, and Google Cloud Firestore) but also on-premises database management system providers, people realized the importance of cloud.

**What Does DBaaS Stand For?**

DBaaS stands for Database as a Service. DBaaS is also known as managed database service. Usage of a DBaaS software means that there is no need for a user to deploy a database management system (DBMS) on premises since it is a managed service. It uses all the benefits of cloud computing to ensure that the user has low to zero initial infrastructure costs.

### What are the Common Features of Database as a Service (DBaaS)?

The following are some core features within the DBaaS that can help users in several ways:

**Automation:** Database administration, access control, monitoring, and several other tasks are completely automated. The customers do not need to concern themselves with these tasks, since they are designed in a manner that the machine itself will automatically execute all tasks without any human intervention.

**Self-service capabilities:** Since the DBaaS software is fully automated, admin tasks can be automated as well. These tasks can be scheduled to support different database activities. DBaaS providers will support numerous automated tasks such as OS and kernel updates, back-up scheduling and restoration, software patching, and built-in replication among others.

**On-demand usage:** Users can opt for the DBaaS as per requirement, and it only takes a couple of minutes to set up. There are overall IT savings since the customer will only pay as per usage.

**Dynamic:** The DBaaS software is a flexible platform and will use the resources available as required. It will tailor itself to match the user's environment needs.

**True high availability (HA) and resilience:** DBaaS systems need to show true HA so that the system is dependable enough to continuously work without any errors. For a DBaaS system, HA means that users can run several critical applications and workloads without having to worry about a database failing or becoming unavailable due to any failure.

### What are the Benefits of Database as a Service (DBaaS)?

Some of the key benefits of DBaaS software is provided below: 

**Low initial costs:** Since the customer does not need to invest in any hardware, there are no upfront costs associated with database technologies. In addition, the customer does not need to purchase additional database management systems if the need for scaling arrives. The customer only needs to pay a subscription fee for using the DBaaS software which is determined by the resources being consumed. In case a customer needs to purchase additional capacity in the future, they can just opt to subscribe for the same or add additional features to their subscription pricing plan.

**Scalability:** Since the customer would not own the hardware itself, the DBaaS software vendor will provide the customer with a flexible and scalable infrastructure to scale up or down based on their database needs. A customer can scale down the number of resources being used during off-peak times, and increase its resources during high-peak requirements. This benefit is also very useful when we consider very large datasets or big data applications.

**Reduced risk complexities:** When creating a DBaaS service level agreement (SLA), the cloud computing provider needs to ensure that the customer will be provided a certain amount of uptime. In case this fails, the customer can be compensated for the same.

**Supports configurability:** Most of the DBaaS providers provide numerous options for customers to configure their DBaaS as per their database. Since there are several different types of databases, this configurability feature is a must to ensure the quality of the DBMS process.

**Lower admin costs:** Since there is no hardware owned by the customer, there is no requirement for a database management team to handle it. Most of the operations are handled by the DBaaS provider and customers can choose what they prefer to control. IT staff can refocus their time on working on other applications, software, and workloads.

**Improved time to market:** When using an on-premises database, development teams usually raise a ticket to their IT teams to provide some information which could take days. But with DBaaS software, developers can also be allowed to access the DBaaS capabilities, and download their required data or information in a matter of minutes.

**Security:** Since cloud providers have their own strong and secure encryption and security methods to ensure that customer data is safe on the cloud, these security features are extended to a DBaaS customer as well. DBaaS software providers will also take care of any government compliance data regulations such as HIPAA.

### Who Uses Database as a Service (DBaaS)?

Some of the key personas that use DBaaS are listed below:

**DBaaS administrator:** This persona will be primarily responsible for maintaining and managing the DBaaS software. A DBaaS administrator can use the software to create, delete, and restore database deployments, can monitor service usage in the cloud, and send requests to scale or patch up as required.

**Cloud account administrator:** A cloud account administrator manages the cloud accounts for an organization. They can create users and provide them access to the DBaaS solutions. The administrator will be responsible for deleting and adding user personas as well.

**Identity domain administrator:** This persona will be in charge of creating cloud service administrators and creating accounts for the DBaaS administrator within a particular identity domain.

**Nonuser or administrator:** This persona will work with the cloud service. This user will be assigned application roles, service roles, workload-related tasks, and others. Users will be able to access several database instances within a particular identity domain.

**Application owner** : Within the organization, the application owner will use the DBaaS software to access or call any database required for running the application. There is no need to wait for days to raise any request to get access to a database.

**Developers:** Developers can use several cloud-hosted APIs to build new applications and access and manipulate the data for various programs. Because of this feature, DBaaS shares several similarities with other SaaS or PaaS cloud-based offerings.

### Challenges with Database as a Service (DBaaS) 

DBaaS solutions can come with their own set of challenges. 

**Lack of control:** This is considered to be the biggest challenge that customers face with DBaaS. Customers do not have direct access to servers that are running the database. The customer cannot be involved in the physical security of the servers or even cybersecurity that protects the data. If for any reason the server stops working, the customer is affected until the cloud provider fixes it.

**Security concerns:** Although DBaaS providers provide top-notch security from their cloud computing capabilities, organizations might find using DBaaS a challenge. The fact that the customer would not have control over how the data is stored, accessed, transmitted, or backed up could cause severe security concerns. There have been numerous data breaches being reported daily across the globe and several organizations are becoming wary of using DBaaS software.

**Dependency on the cloud provider for additional enhancements:** There is a lack of physical control when a customer opts for a DBaaS solution. In case a customer wants to upgrade their service with enhanced security products, for example, the customer will not have any control over the same. They can raise a ticket request with the cloud provider. There is no method in place for a customer to implement any additional services that they want which are not offered by the cloud provider. So in the example above, the customer would need to wait until that particular security enhancement is supported by the cloud provider or opt for the one that the cloud provider is offering.

**Vendor lock-in challenges:** Several DBaaS solution offerings will provide numerous features today to move more customer databases to the cloud. However, no one can predict the future so what is a good decision today may not be one tomorrow. As an example, data privacy and compliance regulations in the future could pressurize EU customers to store their data in a particular location, but due to vendor lock-in issues, the customer could run into several problems since several DBaaS cloud providers such as Amazon, Google, and Oracle are based out of US headquarters.

### How to Buy Database as a Service (DBaaS) 

Under this section, a customer can gather and prioritize key requirements and RFI distribution, specifically for DBaaS software:

#### Requirements Gathering (RFI/RFP) for Database as a Service (DBaaS)

For customers looking for a wide array of DBaaS options, having a neutral opinion will be key to choosing one. Customers can use reviews here at G2.com as a guide to move forward with the DBaaS option.

When choosing a DBaaS option, it’s very important to ask the following questions:

- Does the cloud provider support the type of database that is required?
- Can the provider support scaling requirements in the future?
- Are there standards for data protection and regulations?
- Does the provider have support teams present in case of any query?
- Is it a high availability (HA) software? Is it able to withstand any nodal failures?
- Does it have a robust backup? Does it support built-in replication?

By answering these questions, the customer will have an understanding of what kind of DBaaS service provider would be the best fit for their organization. Understanding the customer’s database type or technology and making sure that the cloud provider can support this database is key.

#### Compare Database as a Service (DBaaS) Products

**Create a long list**

In this step, buyers should keep their options open to consider the full range of products. Buyers have the freedom to explore numerous offerings that the DBaaS market has. In addition, this is the main step to evaluate the answers to the above questions. The long list can be made much more concise and smaller by addressing the goals.

**Create a short list**

Buyers can make much more granular comparisons on this step. In addition to this, buyers can use the G2 reviews to further narrow this list down.

**Conduct demos**

Once the list has been reduced to a couple of vendors, buyers may begin to request a demo. During a DBaaS demo, buyers should seek out information that is related to their non-negotiable terms. This is a good stage where the buyer can delve more deeply into understanding how secure their database will be, what the features are—latency in loading databases, after-service support, staff training, and other additional features that can be provided. 

#### Selection of Database as a Service (DBaaS)

**Choose a selection team**

Choosing the right team to work together to decide the right DBaaS software is a critical part of the process. This team will be in charge of overseeing the entire database migration to cloud. The team should include a mix of different personas who have the required skills, the interest, and the time. Some roles include DBaaS admins, cloud engineers, and IT admins. The buyer administrator is one of the key personnel required for this selection team since this admin will control the buying process. For smaller firms that want to move to DBaaS, they might not have several employees to be a part of this team, and therefore they might need to overlap roles to make the best assessment.

**Negotiation**

A buyer can choose to negotiate to trim costs. The buyer needs to note that if in the future there is a requirement for scaling, there would be additional costs or an increase to the subscription pricing. Keeping such factors in mind will help the buyer to put forward better negotiation tactics for the specific functions that matter.

**Final decision**

Once all the steps are complete, the final decision is made weighing all factors and scenarios. Having a trial run of the DBaaS software is a good place to start. A small group of developers or admins can use the DBaaS software to see if there are viable benefits and pass on their views to the team making the final decision.