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Top 4 Key Value Databases SaaS Companies $100M+ Revenue (September 2026)

As of September 2026, Latka tracks 4 key value databases SaaS companies with $100M+ in annual revenue. They have combined revenues of $1B and employ 6.5K people. They have raised $698.6M and serve 500 customers combined.

Every company below sells key value 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 Key Value Databases SaaS Companies do

Key-value databases are a type of non-relational database, commonly categorized under NoSQL databases, that store data as a collection of key-value pairs. This structure provides a simple and efficient way to access and manipulate data, making these databases particularly suited for scenarios requiring high-speed transactions and scalability. They are widely used in applications such as caching, session storage, and real-time analytics, where quick retrieval and storage of data is paramount. Typical features of key-value databases include high availability, partitioning, and various data expiration policies. They often support horizontal scaling, allowing them to handle increased loads seamlessly. Common buyer personas for key-value databases include software developers and data engineers, who seek to implement flexible and scalable data solutions, as well as IT operations teams focused on maintaining performance and availability in dynamic environments.

Companies
4
Revenue
$1B
Funding
$698.6M
Employees
6.5K

Filters

Sorting: Highest -> Lowest

Filters

Top Key Value Databases SaaS Companies $100M+ Revenue

Showing 4 of 4 companies ranked by annual revenue.

1Redis logo
Redis

Mountain View, California, United States

Redis Ltd. (originally Redis Labs, Garantia Data) is an American private computer software company headquartered in Mountain View, California. It is the world's fastest in-memory database, providing cloud and on-prem solutions for caching, vector search, and NoSQL databases.

Revenue
$272.6M
Year founded
2011
Funding
$356M
Team size
1.4K
Growth
30.43%
2The Apache Software Foundation logo
The Apache Software Foundation

Wilmington, Delaware, United States

The Apache Software Foundation (ASF) is the global home for open source software, powering some of the world’s most ubiquitous software projects including Apache Airflow, Apache Camel, Apache Cassandra, Apache Groovy, Apache HTTP Server, and Apache Kafka. Established in 1999, The ASF is at the forefront of open source innovation, setting industry standards to advance software for the public good. We sustain open source projects in perpetuity, empowering developers to build communities that endure. Everything we do is open. Everyone is welcome. Learn more at https://apache.org. ASF’s annual Community Over Code event is where open source technologists convene to share best practices and use cases, forge critical relationships, and learn about advancements in their field. https://communityovercode.org/

Revenue
$259.3M
Year founded
1999
Team size
2.4K
3DataStax logo
DataStax

Santa Clara, California, United States

The company that owns datastax.com is DataStax, Inc. DataStax is a software company that specializes in delivering an always-on, distributed database platform built on Apache Cassandra. The company was founded in 2010 and is based in Santa Clara, California, with additional offices around the world. DataStax helps businesses unlock the full potential of their data by providing a scalable, highly available, and secure database platform that can handle massive amounts of data and support real-time applications. Their customers include some of the world's largest companies in industries such as finance, healthcare, and retail.

Revenue
$246.9M
Customers
500
Year founded
2010
Funding
$342.6M
Team size
692
4InterSystems logo
InterSystems

Boston, Massachusetts, United States

InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 39 offices in 28 countries worldwide.

Revenue
$225.6M
Year founded
1978
Team size
2.1K

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

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

Latka tracks 4 key value databases SaaS companies with $100M+ in annual revenue. Together they generate $1B in annual revenue and employ 6.5K people.

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

Redis is the largest, with $272.6M in annual revenue, founded in 2011.

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

The average key value databases SaaS company in this list makes $251.1M a year, across 4 companies with reported revenue. They serve 500 customers combined.

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

Ranked by annual revenue, the leaders are Redis, The Apache Software Foundation, DataStax and InterSystems.

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

The 4 key value databases SaaS companies with $100M+ in annual revenue tracked here have raised $698.6M in disclosed funding between them.

Related IT Infrastructure Software categories

Inclusion Criteria

- The product must store data primarily in key-value pairs. - It should support high availability and scalability for large datasets. - The database should allow for quick retrieval and storage of data. - It must include features for data expiration or time-to-live settings. - The system should not be limited to relational data structures; must also support unstructured or semi-structured data.