As of September 2026, Latka tracks 2 relational databases SaaS companies with $5M–$10M in annual revenue. They have combined revenues of $11.4M and employ 87 people.
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.
Warsaw, Mazowieckie, Poland
Oxla provides a database that specializes in lightning data processing, offering a distributed database platform capable of processing and handling large, complex queries with ease, designed to be compatible with PostgreSQL and optimized for modern hardware.
Dunö, Kalmar County, Sweden
Exchanging control over your data layer for DBaaS is the fundamental transaction between customers and providers. Change that with the Sovereign DBaaS concept, which empowers you to get what you're actually looking for from DBaaS, full automation of your open-source database ops, without surrendering control. Whether you want to deploy and manage your high availability MongoDB, MySQL, MariaDB, PostgreSQL, TimescaleDB, Elasticsearch, SQL Server, or Redis clusters on-prem, in the cloud, or both, you can with our AI-driven automation platform. The company has enabled over 12,000 deployments to date via ClusterControl and counts Amalgamated Banks of South Africa (ABSA), Kaiser Permanente, the NHS, Black Hills Energy, and Vodafone among its customers. Find out how we can help give you back control, https://www.severalnines.com
Latka tracks 2 relational databases SaaS companies with $5M–$10M in annual revenue. Together they generate $11.4M in annual revenue and employ 87 people.
Oxla is the largest, with $6.1M in annual revenue.
The average relational databases SaaS company in this list makes $5.7M a year, across 2 companies with reported revenue.
Ranked by annual revenue, the leaders are Oxla and Severalnines.
- 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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