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 8 companies ranked by annual revenue.
Rajkot, Gujarat, India
Improwised Technologies is a leading IT company founded with a desire to become a top software development company in scalable, data-intensive, and cloud-native applications.
London, England, United Kingdom
Google Cloud Migration Specialists, Azure Cloud Migration Specialists, Talend Gold Partner, Mobile/Web Apps, Data Management SaaS
San Francisco, California, United States
Datometry Hyper-Q is a database virtualization technology that makes databases interchangeable by translating apps & results in real-time.
Beijing, Beijing, China
SphereEx is a database software provider that builds distributed data infrastructures with the help of cloud and big data technologies.
Paris, Ile-de-france, France
Developer of a software storage technology designed to feed processors doing risk computations and receive the results reliably. The company's software storage technology develops a database management system based on not only structured query language (NoSQL) for hyperscalable architecture, enabling clients to avail high-performance, distributed and column-oriented database with native time series support.
Berlin, Berlin, Germany
Developer of an open source engine designed to develop and test backend applications. The company's platform provides a development environment where codes are live-built, tested and deployed, providing developers with containers and serverless functions to easily develop and deploy distributed systems.
- 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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