As of May 2026, there are 26 SaaS companies in Database Management Systems (DBMS). They have combined revenues of $796.5M and employ 5.8K people. They have raised $904.1M and serve 550 customers combined.
Database Management Systems (DBMS) are software platforms designed to store, manage, and retrieve data efficiently within databases. They provide a systematic way to create, maintain, and use databases, facilitating tasks such as data entry, querying, updating, and reporting. DBMS solutions can be utilized in various environments, from small applications to enterprise-level database systems requiring strong performance and scalability. Common use cases for DBMS include managing customer records in CRM systems, handling transactional data in eCommerce platforms, and organizing research data in academia. Typical features of DBMS include data modeling, security controls, backup and recovery mechanisms, and support for multiple user access. Key buyer personas typically include IT administrators, data analysts, and operations managers, who require reliable tools to manage data effectively and support data-driven decision-making.
Sorting: Highest -> Lowest
Showing 10 of 7 companies ranked by annual revenue.
San Ramon, California, United States
Tessell is an AI-native, multi-cloud DBaaS platform that unifies transactional and analytical database management into a single intelligent control plane, automating operations, reducing costs by up to 45%, and boosting performance by over 50%.
Chantilly, Virginia, United States
US Information Technologies provide oracle based information technology solutions and services.
Shenzhen, Guangdong, China
Developer of database software designed to offer distributed database access for enterprises. The company's software helps enterprises securely store large amounts of transaction data and create data centers, enabling enterprises to improve their data storage and retrieval abilities.
Redwood City, California, United States
ClickHouse is an open-source, column-oriented OLAP database management system that allows users to generate analytical reports using SQL queries in real-time. Its technology works 100-1000x faster than traditional database management systems, and processes hundreds of millions to over a billion rows and tens of gigabytes of data per server per second. With a widespread user base around the globe, the technology has received praise for its reliability, ease of use, and fault tolerance. Learn more at clickhouse.com.
Esbo, United States
MariaDB is a community-developed, commercially supported fork of the MySQL relational database management system, intended to remain free and open-source software under the GNU General Public License.
Sunnyvale, California, United States
Developer of an open source distributed (HTAP) database designed to serve as a one-stop service for online transactions and analysis. The company's cloud native TiDB, is an open source distributed hybrid transactional analytical processing (HTAP) database with features that include MYSQL compatibility and distributed transaction, providing users with horizontal scalability and high availability for more versatile database management.
Boca Raton, Florida, United States
Champion Solutions Group is comprised of a great group of talented, fun and passionate people, whose sole purpose is to help our clients increase their productivity, reduce costs and mitigate risks. We are award-winning, IT industry experts with deep expertise in all areas of Virtualization & Cloud, Security, Data Center (Storage, Networking, Converged / Hyper-Converged), Data Management, Mobility, Windows 10 and Professional Services. Our time-tested, proven methodology of services delivery has lead to hundreds of successful IT deployments that have come in on schedule and below budget. Visit us at: www.championsg.com www.messageops.com Champion is hiring! See job postings at: http://www.championsg.com/careers 10 reasons why we love to work for Champion: https://www.youtube.com/watch?v=YdjQY_i29Z8
- Must offer structured data storage and retrieval capabilities - Should include tools for data backup and recovery - Requires support for data manipulation and querying through SQL or similar languages - Must facilitate user access controls for data security - Not just focused on data storage; must also provide features for data analysis and reporting - Should support scalability to handle increasing data volumes - Must be capable of integrating with other software applications in a business ecosystem
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