As of September 2026, Latka tracks 2 relational databases SaaS companies with $10M–$100M in annual revenue. They have combined revenues of $27.1M and employ 677 people. They have raised $465.7M.
Every company below sells relational databases software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
Relational databases are organized collections of data that are structured into tables, consisting of rows and columns. This architecture allows for efficient data management and retrieval, as related data points can be accessed and manipulated using a structured query language (SQL). They are widely used in various applications, such as financial systems, e-commerce platforms, and customer relationship management systems, where handling structured data with complex relationships is essential. The primary features of relational databases include data integrity, normalization, and the ability to handle complex queries. Users can perform operations like adding, updating, and deleting data, as well as executing complex queries that join multiple tables to extract meaningful insights. Typical buyer personas for this software include database administrators, IT professionals, and business analysts, who rely on these systems to store and analyze large volumes of data and support decision-making processes.
Sorting: Highest -> Lowest
Showing 2 of 2 companies ranked by annual revenue.
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.
Latka tracks 2 relational databases SaaS companies with $10M–$100M in annual revenue. Together they generate $27.1M in annual revenue and employ 677 people.
MariaDB is the largest, with $14M in annual revenue, founded in 2014.
The average relational databases SaaS company in this list makes $13.5M a year, across 2 companies with reported revenue.
Ranked by annual revenue, the leaders are MariaDB and PingCAP.
The 2 relational databases SaaS companies with $10M–$100M in annual revenue tracked here have raised $465.7M in disclosed funding between them.
- Must support structured data organization into tables with defined schemas - Must allow complex querying through SQL or similar languages - Must provide features for data integrity and consistency - Must facilitate data relationships through foreign keys and indexing - Targeted towards use cases requiring secure and reliable data management - Not purely focused on unstructured data handling; must deal with structured relational data as a priority
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