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Top 13 Key Value Databases SaaS Companies in May 2026

As of May 2026, there are 13 SaaS companies in Key Value Databases. They have combined revenues of $1.1B and employ 7.4K people. They have raised $811.2M and serve 500 customers combined.

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
13
Revenue
$1.1B
Funding
$811.2M
Employees
7.4K

Filters

Sorting: Highest -> Lowest

Filters
Revenue
All<$1M$1M-$5M$5M-$10M$10M-$100M$100M+
Funding (Locked)Growth (Locked)Team-Size (Locked)

Top Key Value Databases Companies

Showing 10 of 2 companies ranked by annual revenue.

1
Hazelcast

Palo Alto, California, United States

Provider of an open source in-memory data grid platform designed to modernize existing applications. The company's open source in-memory data grid platform with installed clusters offer operational in-memory computing, enabling companies to manage their data and distribute processing using in-memory storage and parallel execution for breakthrough application speed and scale.

Revenue
$9.2M
Customers
-
Year founded
2008
Funding
$63.6M
Team size
189
Growth
26.5%
2
FairCom Corporation

Columbia, Missouri, United States

What started as one computer science professor’s passion project back in 1979 has grown into a robust company spanning more than 100 countries worldwide. And while we’ve changed a lot in our forty-year history, our love for new and innovative data management has stayed the same since Day One. Our product lines are developed around letting you do more with your data. FairCom DB — A powerful multi-API database with the ease of JSON. FairCom RTG — Bring your COBOL data into the modern world without changing code. FairCom Edge — Machines talk. Are you listening? Our IoT platform lets you easily collect, store, transform, and deliver your data wherever and however you need. FairCom MQ — More than a message broker; from change data to event streams without ever missing a data point.

Revenue
$5.7M
Customers
-
Year founded
1979
Funding
-
Team size
52
Growth
-

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.