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Top 1 Relational Databases SaaS Companies $100M+ Revenue (September 2026)

As of September 2026, Latka tracks 1 relational databases SaaS companies with $100M+ in annual revenue. They have combined revenues of $110M and employ 523 people. They have raised $462M.

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.

What Relational Databases SaaS Companies do

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.

Companies
1
Revenue
$110M
Funding
$462M
Employees
523

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Top Relational Databases SaaS Companies $100M+ Revenue

Showing 1 of 1 companies ranked by annual revenue.

1SingleStore logo
SingleStore

San Francisco, California, United States

The core of all AI, business intelligence and applications is data — various bits and bytes that come in all different formats. Only when we sift through this data, reason with it and build on top of it in real time does it give way to vast amounts of information and knowledge. Real-time insights are key to the way we live our lives today; the way we entertain ourselves; the way we listen to music; the way we order groceries. Real-time insights keep your BI tools fresh; they keep your ride-sharing app with the most current price; and they ensure you never miss a fraudulent payment. SingleStoreDB is the world’s only database that empowers users to transact, analyze and contextualize data in real time. It empowers the world’s makers to build, deploy and scale modern, intelligent applications — backed by streaming data ingestion, a unique table type that supports both transactional (OLTP) and analytical (OLAP) workloads, limitless point-in-time recovery and a distributed (shared-nothing), MySQL-compatible architecture.

Revenue
$110M
Year founded
2011
Funding
$462M
Team size
523

Frequently asked questions about Relational Databases SaaS Companies $100M+ Revenue

How many relational databases SaaS companies with $100M+ in annual revenue are there?

Latka tracks 1 relational databases SaaS companies with $100M+ in annual revenue. Together they generate $110M in annual revenue and employ 523 people.

Which relational databases SaaS company with $100M+ in annual revenue is the largest?

SingleStore is the largest, with $110M in annual revenue, founded in 2011.

How much revenue does a typical relational databases SaaS company with $100M+ in annual revenue make?

The average relational databases SaaS company in this list makes $110M a year, across 1 companies with reported revenue.

Who are the leading Relational Databases vendors with $100M+ in annual revenue?

Ranked by annual revenue, the leaders are SingleStore.

How much funding have relational databases SaaS companies with $100M+ in annual revenue raised?

The 1 relational databases SaaS companies with $100M+ in annual revenue tracked here have raised $462M in disclosed funding between them.

Related IT Infrastructure Software categories

All IT Infrastructure Software SaaS categoriesEvery category we track inside IT Infrastructure Software, each ranked by revenue.Browse every SaaS industryThe full A-Z of SaaS categories Latka tracks, from Relational Databases to everything else.

Inclusion Criteria

- 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