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.

Page 2 | Best Database Management Systems (DBMS): User Reviews from October 2026

YugabyteDB

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?

Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.8/10)
Data dictionary: 8.3/10 (Category avg: 8.6/10)
Backup and Recovery: 8.7/10 (Category avg: 8.5/10)
Data Migration: 8.6/10 (Category avg: 8.4/10)

Who Is the Company Behind YugabyteDB?

Seller: Yugabyte, Inc.
Company Website:
Year Founded: 2016
HQ Location: Sunnyvale, CA
Twitter: @Yugabyte
9,272 Twitter followers
LinkedIn® Page: www.linkedin.com
497 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, allowing seamless expansion without significant downtime or complexity.
Users find YugabyteDB to be a highly reliable database, ensuring data safety and seamless operation even under stress.
Users value the high availability of YugabyteDB, enabling seamless operation and confidence in critical workloads.
Users appreciate the high availability of YugabyteDB, ensuring minimal downtime and supporting critical workloads effectively.
Users value the high performance and scalability of YugabyteDB, enabling efficient handling of increasing transaction volumes effortlessly.

Cons

Users find the operational complexity of YugabyteDB challenging, especially regarding multi-region management and advanced features.
Users note a steep learning curve with YugabyteDB, especially related to cluster setup and operational management.
Users find the complex setup of YugabyteDB challenging initially, requiring significant hands-on work compared to simpler databases.
Users find the setup and configuration complex, especially when managing distributed clusters compared to simpler systems.
Users experience slow performance with YugabyteDB, especially during complex queries and under heavy loads.

What Are Recent G2 Reviews of YugabyteDB?

"Great for Learning Distributed Databases with Real-World Use"

Rating: 4.5/5.0 stars

— Vikas Kumar S.

Best Database Management Systems (DBMS) - Page 2

How Many Database Management Systems (DBMS) Products Does G2 Track?

Category Stats (Oct 2026)

How Does G2 Rank Database Management Systems (DBMS) Products?

G2 Grid® for Database Management Systems (DBMS)

How Do G2 Users Rate YugabyteDB?

Who Is the Company Behind YugabyteDB?

Who Uses This Product?

What Do G2 Reviewers Say About YugabyteDB?

Pros

Cons

What Are Recent G2 Reviews of YugabyteDB?

How Do G2 Users Rate SolarWinds Database Observability?

Who Is the Company Behind SolarWinds Database Observability?

Who Uses This Product?

What Do G2 Reviewers Say About SolarWinds Database Observability?

Pros

Cons

What Are Recent G2 Reviews of SolarWinds Database Observability?

What Are G2 Users Discussing About SolarWinds Database Observability?

How Do G2 Users Rate Azure Database for PostgreSQL?

Who Is the Company Behind Azure Database for PostgreSQL?

Who Uses This Product?

What Are Recent G2 Reviews of Azure Database for PostgreSQL?

AI can help you find the answers. G2 helps you trust them.

How Do G2 Users Rate DataGrip?

Who Is the Company Behind DataGrip?

Who Uses This Product?

What Do G2 Reviewers Say About DataGrip?

Pros

Cons

What Are Recent G2 Reviews of DataGrip?

What Are G2 Users Discussing About DataGrip?

How Do G2 Users Rate Zilliz?

Who Is the Company Behind Zilliz?

Who Uses This Product?

What Do G2 Reviewers Say About Zilliz?

Pros

Cons

What Are Recent G2 Reviews of Zilliz?

How Do G2 Users Rate DBeaver?

Who Is the Company Behind DBeaver?

Who Uses This Product?

What Do G2 Reviewers Say About DBeaver?

Pros

Cons

What Are Recent G2 Reviews of DBeaver?

What Are G2 Users Discussing About DBeaver?

How Do G2 Users Rate InterSystems IRIS?

Who Is the Company Behind InterSystems IRIS?

Who Uses This Product?

What Do G2 Reviewers Say About InterSystems IRIS?

Pros

Cons

What Are Recent G2 Reviews of InterSystems IRIS?

What Are G2 Users Discussing About InterSystems IRIS?

How Do G2 Users Rate Oracle Enterprise Manager?

Who Is the Company Behind Oracle Enterprise Manager?

Who Uses This Product?

What Are Recent G2 Reviews of Oracle Enterprise Manager?

What Are G2 Users Discussing About Oracle Enterprise Manager?

How Do G2 Users Rate ClickHouse?

Who Is the Company Behind ClickHouse?

Who Uses This Product?

What Do G2 Reviewers Say About ClickHouse?

Pros

Cons

What Are Recent G2 Reviews of ClickHouse?

What Are G2 Users Discussing About ClickHouse?

How Do G2 Users Rate phpMyAdmin?

Who Is the Company Behind phpMyAdmin?

Who Uses This Product?

What Do G2 Reviewers Say About phpMyAdmin?

Pros

Cons

What Are Recent G2 Reviews of phpMyAdmin?

What Are G2 Users Discussing About phpMyAdmin?

How Do G2 Users Rate MongoDB Compass?

Who Is the Company Behind MongoDB Compass?

Who Uses This Product?