1
Yorokobi
Newark, Delaware, United States
Yorokobi is a company that provides automatic PostgreSQL database backups.
- Revenue
- $681.5K
- Customers
- -
- Year founded
- 2018
- Funding
- -
- Team size
- 6
- Growth
- 206.13%
Top 26 Database Management Systems (DBMS) SaaS Companies in May 2026
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.
Filters
Sorting: Highest -> Lowest
Top Database Management Systems (DBMS) Companies
Showing 10 of 8 companies ranked by annual revenue.
2
GraphGrid
Wooster, Arizona, United States
Developer of graph database management platform designed to facilitate aggregating, managing, securing and analyzing multi-source data at scale. The company's platform unleashes the power of enterprise Neo4j and Amazon cloud services through embracing data relationships at the core of the architecture and provides 24/7 deployment, management, operation and support for an entire ecosystem of services, enabling users to have rapid connection and analysis of their enterprise's data.
- Revenue
- $649.5K
- Customers
- -
- Year founded
- 2018
- Funding
- -
- Team size
- 5
- Growth
- 57.7%
3
Starcounter
Stockholm, Sweden
Provider of a database management system intended to revitalize enterprise software systems. The company's database management system is a combined in-memory database engine and application server for development of high performance business applications enabling enterprises to make their software applications perform much faster.
- Revenue
- $578.7K
- Customers
- -
- Year founded
- 2006
- Funding
- -
- Team size
- 9
- Growth
- 26.5%
4
Postgres.AI 💙💛
San Diego, California, United States
Database Lab Engine (DLE) enables 🖖 DB branching and ⚡️ thin cloning for *any* Postgres database and empowers DB testing in CI/CD. This improves product quality and time-to-market. GitHub ⭐️👍 https://github.com/postgres-ai/database-lab-engine
- Revenue
- $550K
- Customers
- -
- Year founded
- 2020
- Funding
- -
- Team size
- 5
- Growth
- -
5
PolyScale.ai
Redwood City, California, United States
PolyScale.ai is an AI-driven database cache. Using smart caching, it improves query performance, lowers network latency and makes global data access and scale engineering a breeze, both on premise and at the edge.
- Revenue
- $440K
- Customers
- -
- Year founded
- 2020
- Funding
- -
- Team size
- 4
- Growth
- -
6
Amplus Tecnologia
Fortaleza, Ceará, Brazil
A Amplus Tecnologia é uma empresa consolidada com mais de 15 anos no mercado brasileiro, com foco principal na utilização de data centers próprios e aplicativos voltados para computação em nuvem. Nossos ERP’s atendem diversos setores como educação, saúde, contábil, financeiro e gestão de vendas. Todos focados em ser uma solução de crescimento para sua empresa.
- Revenue
- $330K
- Customers
- -
- Year founded
- 2009
- Funding
- -
- Team size
- 3
- Growth
- -
7
Speedment
Palo Alto, California, United States
Developer of a cloud-based software designed to focus on graph databases and optimization of databases. The company's software helps to improve the performance of data-intensive web application, reduces time to market for Ext JS projects and improves application responsiveness, enabling back end developers to rapidly convert their large relational databases into in-memory Java objects that speed up data access by orders of magnitude.
- Revenue
- $321.1K
- Customers
- -
- Year founded
- 2007
- Funding
- -
- Team size
- 3
- Growth
- 26.5%
- Revenue
- $1K
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 1
- Growth
- -
Inclusion Criteria
- 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