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Top 4 Database Software Companies $100M+ Revenue (October 2026)

As of October 2026, Latka tracks 4 database software companies with $100M+ in annual revenue. They have combined revenues of $821M and employ 2.7K people. They have raised $882.5M and serve 8.5K customers combined.

Every company below sells database 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 Database Software Companies do

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.

Companies
4
Revenue
$821M
Funding
$882.5M
Employees
2.7K

Filters

Sorting: Highest -> Lowest

Filters

Top Database Software Companies $100M+ Revenue

Showing 4 of 4 companies ranked by annual revenue.

1Redis logo
Redis

San Francisco, California, United States

Redis develops the Redis in-memory database and sells it as a managed cloud service (Redis Cloud) and as on-premises software (Redis Software) for caching, real-time data, vector search and AI agent memory. Ofer Bengal and Yiftach Shoolman founded it in 2011; it was Garantia Data until 2014 and Redis Labs until August 2021. Rowan Trollope has been CEO since February 2023, with Bengal as chairman, and the company is based in San Francisco. Redis raised a net $347 million through its April 2021 Series G, which valued it at over $2 billion, and in January 2026 said it had passed $300 million in annual recurring revenue. In 2018 Bengal told Latka it had about 200 employees, 8,500 customers and roughly 60% annual growth.

Revenue
$300M
Customers
8.5K
Year founded
2011
Funding
$355.6M
Team size
501
2ClickHouse logo
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
$250M
Year founded
2021
Team size
197
Growth
201.2%
3EDB logo
EDB

Wilmington, Delaware, United States

EDB Postgres® AI (EDB PG AI) is the first open, enterprise-grade sovereign data and AI platform—secure, compliant, and scalable, on-premises and across clouds. Built on Postgres, the world’s leading database, EDB PG AI unifies transactional, analytical, and AI workloads, enabling organizations to operationalize their data and LLMs while maintaining control over sovereign environments. EDB PG AI is supported by a global partner network and delivers up to 99.999% availability as well as hybrid management and a built-in AI factory. As one of the most active contributors to the PostgreSQL project, EDB is deeply invested in the vitality of the global community. To learn more, visit www.enterprisedb.com.

Revenue
$161M
Year founded
2004
Funding
$64.9M
Team size
1.5K
4SingleStore 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 Database Software Companies $100M+ Revenue

How many database software companies with $100M+ in annual revenue are there?

Latka tracks 4 database software companies with $100M+ in annual revenue. Together they generate $821M in annual revenue and employ 2.7K people.

Which database software company with $100M+ in annual revenue is the largest?

Redis is the largest, with $300M in annual revenue, founded in 2011.

How much revenue does a typical database software company with $100M+ in annual revenue make?

The average database software company in this list makes $205.3M a year, across 4 companies with reported revenue. They serve 8.5K customers combined.

Who are the leading Database software vendors with $100M+ in annual revenue?

Ranked by annual revenue, the leaders are Redis, ClickHouse, EDB and SingleStore.

How much funding have database software companies with $100M+ in annual revenue raised?

The 4 database software companies with $100M+ in annual revenue tracked here have raised $882.5M in disclosed funding between them.

Related IT Infrastructure Software categories

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