1
Aerospike
Mountain View, California, United States
Provides database server so companies can compile and analyze large amounts of data
- Revenue
- $42.8M
- Customers
- -
- Year founded
- 2009
- Funding
- -
- Team size
- 287
- Growth
- -
Top 42 Database Software SaaS Companies in May 2026
As of May 2026, there are 42 SaaS companies in Database Software. They have combined revenues of $1.2B and employ 6.9K people. They have raised $2.6B and serve 10K customers combined.
Database Software refers to applications designed to create, manage, and analyze structured data. These tools facilitate various use cases such as data storage, retrieval, and manipulation, enabling organizations to efficiently manage their data resources. Users typically include IT professionals, data analysts, software developers, and business managers who rely on accurate data to inform their decisions and operations.
Filters
Sorting: Highest -> Lowest
Top Database Software Companies
Showing 10 of 7 companies ranked by annual revenue.
2
U.S. Information Technologies Corporation
Chantilly, Virginia, United States
US Information Technologies provide oracle based information technology solutions and services.
- Revenue
- $24.9M
- Customers
- -
- Year founded
- 2006
- Funding
- -
- Team size
- 139
- Growth
- 36.36%
3
SequoiaDB
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.
- Revenue
- $24.2M
- Customers
- -
- Year founded
- 2012
- Funding
- -
- Team size
- 14
- Growth
- -
4
ZILLIZ
Redwood City, California, United States
Developer of AI-oriented intelligent data processing platform intended to improve query performance. The company's OLAP database systems are based on GPU hardware acceleration which focuses on multiple fields including finance, telecommunications, healthcare and retail, enabling its customers to reduce hardware, operation and maintenance cost by over 10 times.
- Revenue
- $16.2M
- Customers
- 1K
- Year founded
- 2016
- Funding
- $53M
- Team size
- 136
- Growth
- -
5
ClickHouse
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.
- Revenue
- $15M
- Customers
- -
- Year founded
- 2021
- Funding
- -
- Team size
- 197
- Growth
- -
6
MariaDB
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.
- Revenue
- $14M
- Customers
- -
- Year founded
- 2014
- Funding
- $124.1M
- Team size
- 242
- Growth
- -
7
PingCAP
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.
- Revenue
- $13.1M
- Customers
- -
- Year founded
- 2015
- Funding
- $341.6M
- Team size
- 430
- Growth
- 26.5%
Inclusion Criteria
- Must allow users to store, retrieve, and manipulate structured data - Should provide data management capabilities such as backup, recovery, and security - Must support various data models, including relational, NoSQL, and multi-model - Should include features for data analysis and reporting - Not just a data storage solution; must also offer data querying and management tools - Must cater to technical users, such as DBAs and data scientists, as well as non-technical business users