Best Database Management Systems (DBMS)
Database management systems (DBMS) are designed to define, store, retrieve, and manage the data within a database. It allows users to create, maintain, and manage databases. DBMS manipulates the database as per the user requirements. Using DBMS ensures that the data of an organization is clean, consistent, secure, relevant, and supports concurrency.
Along with the standard database functionalities (e.g., CRUD operations), DBMS software has much stronger management capabilities. These include functions like stronger metadata visibility and analysis, in-depth and custom reporting, performance monitoring, usage analytics, and compliance checks. Extensive solutions may offer capabilities of database backup software, data replication software, disaster recovery software, or disaster recovery as a service (DRaaS) software, as well.
Typically used by database administrators, DBMS are integral to preserving database quality and integrity. They fall into a larger database-oriented stack, which can include solutions like database security and database monitoring.
DBMS is used as part of both relational and non-relational databases. DBMS software are of different types, in association with the database being managed and organized. Some of the more popular DBMS are as follows:
To qualify for inclusion in the Database Management Systems (DBMS) category, a product must:
Best Database Management Systems (DBMS) At A Glance
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- Overview
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- User Satisfaction
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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.
- Software Engineer
- Data Engineer
- Information Technology and Services
- Computer Software
- 40% Mid-Market
- 31% Small-Business
32,520,271 Twitter followers
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- User Satisfaction
- Seller Details
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
- Software Engineer
- Software Developer
- Information Technology and Services
- Computer Software
- 46% Enterprise
- 37% Mid-Market
14,031,499 Twitter followers
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- User Satisfaction
- Seller Details
Oracle database management tool
- Software Engineer
- Software Developer
- Information Technology and Services
- Computer Software
- 48% Enterprise
- 39% Mid-Market
824,139 Twitter followers
- Overview
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- User Satisfaction
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Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic
- Data Engineer
- Software Engineer
- Computer Software
- Information Technology and Services
- 47% Enterprise
- 40% Mid-Market
55,795 Twitter followers
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- User Satisfaction
- Seller Details
Amazon Athena is an interactive query service designed to make it easy to analyze data in Amazon S3 using standard SQL.
- Data Engineer
- Senior Data Engineer
- Information Technology and Services
- Computer Software
- 40% Enterprise
- 21% Mid-Market
2,230,610 Twitter followers
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Studio 3T is a comprehensive tool for managing MongoDB deployments designed to enhance both software development and IT efficiency, making it an essential tool for enterprise environments. It provides
- Software Engineer
- Senior Software Engineer
- Computer Software
- Information Technology and Services
- 55% Small-Business
- 25% Enterprise
1,703 Twitter followers
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SQL Operations Studio is a data management tool designed to enable working with SQL Server, Azure SQL DB and SQL DW from Windows, macOS and Linux.
- Information Technology and Services
- Computer Software
- 45% Enterprise
- 36% Small-Business
14,031,499 Twitter followers
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- User Satisfaction
- Seller Details
Compose provides a stable, elegant and powerful auto-scaling deployment platform to build your MongoDB applications upon.
- Computer Software
- Information Technology and Services
- 59% Small-Business
- 24% Mid-Market
711,154 Twitter followers
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MySQL Workbench is a visual database design tool that integrates SQL development, administration, database design, creation and maintenance into a single integrated development environment for the MyS
- Software Engineer
- Computer Software
- Information Technology and Services
- 36% Small-Business
- 33% Mid-Market
824,139 Twitter followers
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DbVisualizer is one of the world’s most popular database editors. Developers, analysts, and DBAs use it to elevate their SQL experience with modern tools to visualize and manage their databases, sc
- Information Technology and Services
- Computer Software
- 43% Small-Business
- 30% Enterprise
322 Twitter followers
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- Seller Details
Oracle Enterprise Manager is Oracle’s on-premise management platform that provides a single dashboard to manage all Oracle deployments, in the data center or in the cloud. Oracle Enterprise Manager of
- Information Technology and Services
- Computer Software
- 61% Enterprise
- 27% Mid-Market
824,139 Twitter followers
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- User Satisfaction
- Seller Details
One tool for all data sources. Work with data in a professional way. Use advanced features of DBeaver PRO to explore, process, and administrate all possible SQL, NoSQL, and cloud data sources. Trans
- Software Engineer
- Data Engineer
- Computer Software
- Information Technology and Services
- 40% Mid-Market
- 32% Enterprise
5,403 Twitter followers
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- Seller Details
Toad solutions are desktop tools that give DBAs, developers and analysts a proactive, automated approach to developing and managing databases, so organizations can spend more time on strategic initiat
- Information Technology and Services
- Hospital & Health Care
- 68% Enterprise
- 27% Mid-Market
17,646 Twitter followers
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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 learn
- Consultant
- SAP Consultant
- Information Technology and Services
- Computer Software
- 64% Enterprise
- 23% Mid-Market
301,846 Twitter followers
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Zilliz Cloud is a cloud-native vector database platform that stores, indexes, and searches billions of embedding vectors to power enterprise-grade similarity search, recommender systems, retrieval aug
- Information Technology and Services
- 45% Mid-Market
- 45% Small-Business
3,967 Twitter followers
Learn More About Database Management Systems (DBMS)
What are Database Management Systems (DBMS)?
A database management system (DBMS) is a software application that is designed to store, retrieve, define, and manage the data within a database. DBMS can be viewed as an interface between the user and the database. The software is used to manage the data, database engine, and database schema. Simply put, DBMS manipulates the database as per the user requirements. Using DBMS ensures that the data of an organization is clean, consistent, secure, relevant, and supports concurrency.
To understand database management systems, it’s important to clearly define a database. A database is a collection of structured data stored within a computer system. The control of this database is done via DBMS. Data is modeled into rows and columns to make it more structured for applications to query information as required by the user. The data can be accessed from the database via Structured Query Language (SQL) or NoSQL databases. Some popular database solutions include Oracle database (Oracle RDBMS offering), Microsoft SQL Server, IBM DB2, Amazon RDS, among others.
In addition, several DBMS products are open source in nature, which means it grants the users complete freedom to customize the data as per requirements. An open-source database has its code freely available for download, modification, and reuse. Open source is the opposite of a proprietary database wherein the code cannot be accessed by anyone. Some examples include MongoDB, MariaDB, PostgreSQL, MySQL, and so on.
What does a database management system (DBMS) do?
In addition to all the features shared above, DBMS supports change management, security, backup and recovery, analyzes performance management, concurrency, among several other features. All the data being generated is being logged in the database, and also undergoes continuous audits to ensure that the applications that access them get the correct data.
From a user perspective, DBMS is a unified repository where end users can access any data required. The software ensures that the end user can access the required information limited to the particular persona. The user does not have to be concerned about where the data is located, as long as they can obtain the data for running their applications. The DBMS will handle every request that comes from an end user or any application.
Components of a DBMS
To understand more about database management systems, it is a good idea to identify the various components that constitute a DBMS:
Storage: This is the database or the place where the company stores its data. DBMS will act as the interface between the computer and the user to provide the data. It acts as an interface between an operating system (OS) (such as Windows or Linux) and a file system to store any data that comes through.
Access language: The DBMS needs to have an access language that allows it to communicate with multiple parties. SQL is an example of this.
Metadata catalog: This is also known as a data dictionary. It is a storehouse of all the data objects created. This catalog serves as an index page for users to query the information, or verify data requests. This catalog can hold various levels of details such as schemas, programs, usage details, communication details, performance updates, and several others.
Lock managers: This component of DBMS ensures that all user access is restricted to what rights have been set for that persona. Only those with access can add, edit, or delete data.
Changelog: The changelog component keeps a track of all changes being made to the database application. A record of all changes is known as the log. DBMS uses a log manager to keep track of all the logs created.
Additional features: Some database management tools can also include other additional components such as backup, copy, data integrity checks, among several others.
What Does DBMS Stand For?
DBMS stands for database management systems. DBMS is involved with incoming data, or more specifically managing and running the data. Data is unprocessed and random in nature. When this data is organized, this is known as information. Database management systems involve processing or managing data, and not information. With the growth of big data, data-intensive applications and data-heavy workloads being used to drive well-informed decisions has become the new norm. Having a strong database management system in place which understands a company's data needs and manages the data accordingly is key to ensuring that the data is being used justifiably.
What Types of Database Management Systems (DBMS) Exist?
DBMS are based on the database models that it works with. Some of the best database management systems are as follows:
Hierarchical data model: In this data model, data elements have a 1:n (one-to-many) relationship. It is a tree structure of data. It is a good option to store data that involves features, attributes, child-parent relationships, and other types of data.
Network data model: In this type of data model, the data is structured as 1:1 or many-to-many. Data can have more than one parent node. A key benefit of this type of database model is that it can build several relationships among different data types, which makes it much more efficient.
Relational database model: This is the most commonly used data model by companies. In this, data has a 2D relationship, where the data is organized into rows and columns. The data within the table is related to each other, hence the term relational. Data within one table can also be linked to data in another table by using keys.
Object-Oriented data model: In this database model, the data is stored in the form of objects and not within tables or rows. The object would contain all the required data within it, and the user needs to access the address of the object to obtain the data for usage. Object-oriented databases are highly compatible with several programming languages, key ones include Java, C++, Perl, and several others.
No SQL data model: NoSQL data models support both structured and unstructured data. There is no set defined schema as compared to other data models. The key benefit of this data model is that users can process queries of various elements and not be limited by the structure.
Cloud-based data model: Companies can also choose to store their databases online as a cloud database. Here, the DBaaS model comes into the picture, wherein databases are managed via the cloud provider, the user only needs to pay the subscription fee. There is no need for the user to procure any additional hardware, which allows companies to save a significant amount of money on initial investments.
What are the Common Features of Database Management Systems (DBMS)?
The following are some core features within database management software that can help users in several ways:
Data structure: This is the key feature of DBMS. All the data is stored in a categorized structure so that it becomes easier for the user to call upon the data when it is required. It makes it easier for applications to understand the data structure. DBMS can also ensure continuous updates when the data is in a clear hierarchical structure.
Minimized duplication and redundancy: Databases are used across almost all functions within a company. Since there are several users, this could cause issues such as data duplication and redundancy. DBMS ensures that the data present is only in a single instance, thereby reducing redundancy significantly.
Database maintenance: Every transaction creates a large amount of unstructured data. Large enterprises will have tons of data that require cleaning, security, and even backup and recovery. DBMS allows enterprises to ensure that the tons of data being generated every minute are being processed and managed correctly.
Permanent data storage: DBMS ensures that the data being stored is permanent and that there is no loss to the data. In case a loss occurs due to any unforeseen activity, the DBMS ensures that the data is backed up and can be recovered by the user when needed.
Data security support: Data needs to be safe. Ensuring that the data does not fall in the wrong hands is a key concern for companies especially when there are several data breaches causing companies to lose critical information. The DBMS features allow companies to create “personas” who can access all the data or some of the data (for a specific function for example). These key personas create user identities and approve access to ensure that security is maintained to a maximum.
Multi-user access: In continuation of the above point, multiple users can be given access once certain limits are set. These limits ensure that the data can be accessed or viewed as per the rights given.
Metadata support: Metadata is defined as the data that summarizes the main data; it makes finding the actual data easier. It provides the user what all data is within it, such as related files and objects. It provides more context for the data being stored. DBMS has a key feature of providing metadata libraries, making it easier for applications to call out the required data.
What are the Benefits of Database Management Systems (DBMS)?
Improved process efficiency: One of the key features of DBMS is that it ensures that there are no inconsistencies in the data, caused by duplication. This allows for a clean database and smoother data management which improves the process efficiency across the company. In addition, since data is shared, it does not require much storage space, further streamlining the process.
Data consistency: DBMS ensures that the data is the same which is being used across various functions within a company. There is no change to the data, regardless of who is viewing it.
Customization: A key benefit of DBMS is that it keeps applications and the database separate. An application can be customized as per user requirements, but the data being called or used will remain the same. In addition, these applications need not use all the data called while using the DBMS, only the required data is used. Ideally, each employee will have different ways to access the database based on the front-end application that they have been given. For example, an employee will not be able to access other employees’ personal information but the HR department will have access to this.
Data availability: DBMS needs to ensure that the data is made accessible to different employees at any time and from anywhere. Multiple users can access data remotely 24 hours a day.
Who Uses Database Management Systems (DBMS)?
Users of DBMS have an important job of ensuring that the valuable data of a company is handled efficiently. These users need to be mindful of who can/cannot access the critical data and ensure the right settings and permissions have been given. Other users are primarily developers and designers who need access to the data while creating a new product/application.
Some of the main users of DBMS have been listed below:
Database administrator (DBA): Key persona handling the DBMS. The schema is determined by the DBA. They are also responsible for setting up different user IDs and rights for those who can access the database. This persona also monitors the database, ensures security is maintained, monitors backup and recovery plans, tracks errors or failures, provides database support, and several other requirements.
Database designers: Under this persona, the designer uses the DBMS to create data tables, rows, columns, indexes, and other design structures.
Software developers: Programmers and software developers would need access to data when developing a software application or making changes to one. This persona will have access to the database to ensure that the software application development process goes smoothly. In addition, as long as the various programs being created use an application programming interface (API) for the database software that has been provided by the DBMS provider, developers need not modify any programs just because changes were made to a database. This API does not bother the developer to keep track of any changes done to the database, it will automatically make the modifications that the developer requires.
Managers: Managers can use the database temporarily or whenever they require new information. This persona doesn't use DBMS daily, as the other personas, only when the requirement arises.
Other users: This includes users such as analysts, scientists who do not write a code, but use the DBMS to query some information as and when required. They have interactions with the database as per their data requirements.
Challenges with Database Management Systems (DBMS)
DBMS software is critical for any organization that manages its data. The software needs to be effective in handling the data accurately and safely. However, DBMS software does come with its own set of challenges.
Security challenges: Hacking of the database is the biggest concern companies face. Critical data, master data, financial data, and several other data points of a company could be breached by hackers, who could misuse this information. Having robust, secure, and high-performance DBMS to ensure that the database is fully protected is a necessity. Setting up user rights for the database, which limits to which section of data a user can access, is a must.
Safety of data: Data needs to be clean, concise, and without any errors. When data is being processed, no part of it should be lost. DBMS should ensure that the database does not have any duplicate data points, cannot be deleted without the correct user rights, and should have transactional guarantees to ensure that all the data generated by a transaction is pure.
Increased cost: As the amount of data increases, there is a need to purchase more memory and higher server processing power to process large amounts of data. Along with the cost of infrastructure, security costs, maintenance costs, staff training costs, and data center construction costs, several other additional costs could end up becoming a huge investment for the firm. Although the introduction of cloud database as a service (DBaaS) does alleviate the issue, not many customers might be keen to move all their critical data to cloud and would prefer it on-premises.
Data integration: There are numerous sources of data—from hardware points such as mobile phones, laptops, to social media to IoT and several others. Businesses need to ensure that all this valuable data is being recorded properly. It can be a huge task for the DBMS to ensure that all the data from all these various data points are being recorded properly. Ensuring that the data is clean and has no duplicates or errors is a strenuous task.
Managing both cloud and on-premises databases: Companies can choose to opt for a mix of cloud and on-premises databases as per requirements. This could be a major challenge for DBMS since it would need to handle requests of both the databases and treat it as one big database. The user of the database does not need to know where or how the data is located, but only how they can access it. In addition, the vendor will need to choose a DBMS that is scalable when cloud is involved.
How to Buy Database Management Systems (DBMS)
Requirements Gathering (RFI/RFP) for Database Management Systems (DBMS)
When choosing a DBMS, some important criteria need to be considered. Factors such as usability, functionality, and security are key criteria that cannot be compromised on. Having features such as dashboards and visualizations is a great benefit to have, to ensure ease of analyzing the data and keeping track of several queries. Other important features to look out for are support and development—the hours when customer support is available, the willingness to solve user queries, and so on.
As a business grows, scalability is an important criterion to keep in mind. With tons of data being generated, it can get difficult for the customers’ DBMS to scale as per requirement and manage millions of rows and columns of data. Another key feature to ensure that the DBMS has is integration support. There are numerous other software that are a part of a company's environment such as CRM, ERP, and others. How these integrations are managed and how the company ensures all these software connect with the DBMS is critical for the smooth flow of data.
Compare Database Management Systems (DBMS) 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 database management software 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 the 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, if they can promise high-performance support, and what the features are—latency in loading databases, after-service support, staff training, and other additional features that can be provided when opting for their DBMS product.
Selection of Database Management Systems (DBMS)
Choose a selection team
Choosing the right team to work together to decide the right DBMS is a critical part of the process since several personas would need to access the database applications as per requirements. The team should include a mix of different personas who have the required skills, the interest, and the time. Some roles include DBMS admins, CXOs, application developers, and others.
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. For example, in case a customer chooses to opt for DBaaS solutions in addition to on-premises DBMS, it would be a good practice to check with the DBMS vendor if they offer any cloud support, training, and other factors. 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 DBMS using smaller databases is a good place to start. A small group of database admins can pass on their views to the team making the final decision.
