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Top 11 Key Value Databases SaaS Companies (October 2026)

As of October 2026, Latka tracks 11 key value databases SaaS companies. They have combined revenues of $575.8M and employ 5.2K people. They have raised $112.6M.

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
11
Revenue
$575.8M
Funding
$112.6M
Employees
5.2K

Filters

Sorting: Highest -> Lowest

Filters

Top Key Value Databases SaaS Companies by revenue

Showing 10 of 11 companies ranked by annual revenue.

1The 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
2InterSystems 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
3Aerospike logo
Aerospike

Mountain View, California, United States

Provides database server so companies can compile and analyze large amounts of data

Revenue
$42.8M
Year founded
2009
Team size
287
4GigaSpaces logo
GigaSpaces

Herziliyah, Central, Israel

GigaSpaces helps enterprises apply AI to real-time, structured operational data — enabling spontaneous, natural language conversations that accelerate decision-making, improve agility in unexpected situations, and surface opportunities and risks in everyday business. With over two decades of experience powering mission-critical systems, GigaSpaces is a pioneer in real-time data technology and a trusted foundation for data-driven services across industries, including finance, travel, telecom, and insurance. Headquartered in the US, with offices in Europe and Israel, GigaSpaces helps organizations turn operational data into decisions that are timely, secure, and scalable.

Revenue
$13.8M
Year founded
2000
Funding
$46M
Team size
125
Growth
35.13%
5Arango logo
Arango

San Francisco, California, United States

Arango provides a trusted data foundation for Contextual AI — transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimited scale and cost efficiency. The Arango AI Data Platform gives developers a single, integrated environment to build and scale AI-powered applications without the complexity of stitching together multiple databases and tools. At its core is a massively scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial, and vector search — creating the System of Context, the bridge between enterprise data and LLMs. The Arango AI Suite includes automated data pipelines, multimodal data ingestion, AIOps and MLOps, LLM integrations, Graph Analytics, agentic frameworks for context-aware Hybrid/GraphRAG, GraphML, natural-language support, and GPU acceleration — enabling repeatable ROI and faster innovation. Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, and Articul8, Arango powers enterprise AI with context, confidence, and scale. We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, YouTube, and G2.

Revenue
$10.7M
Year founded
2015
Team size
97
6Hazelcast logo
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
Year founded
2008
Funding
$63.6M
Team size
189
7FairCom Corporation logo
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
Year founded
1979
Team size
52
8Dragonfly logo
Dragonfly

Dragonfly 2345 Yale Street First Floor 94306-1449 Palo Alto, United States

Dragonfly is a drop-in Redis replacement, designed to meet the performance and efficiency requirements of modern cloud-based applications. Organizations that switch to Dragonfly require less hardware and achieve dramatically improved data performance.

Revenue
$3.6M
Year founded
2022
Team size
33
9LeanXcale logo
LeanXcale

Madrid, Spain

Developer of an ultra-scalable operational database designed to provide full SQL and ACID transactions to cloud applications with standard interfaces. The company's ultra-scalable operational database offers real-time analytics blending the capabilities of an operational database and the ones of a data warehouse in a single platform, empowering its customers to implement professional results without the need to copy their data in time and resource-consuming projects.

Revenue
$2.6M
Year founded
2015
Funding
$3M
Team size
18
10McObject logo
McObject

Federal Way, Washington, United States

McObject develops the eXtremeDB database system for intelligent devices, embedded systems, and scalable distributed applications. Why should you learn more about the eXtremeDB database management system? • The only commercially supported DBMS that covers data management from hard real-time device to server. • Active Replication Fabric™ solves 5 key challenges for IoT developers • Platform independent interoperability • Footprint starting at 150kb • Type-safe API • Advanced debugging and corruption prevention • 99.999% High Availability options • Distributed query processing • Elastic scalability via sharding • Optimized for time series data • The exclusive Pipelining feature offers the lowest possible latency eXtremeDB/rt is the only commercial off-the-shelf hard real-time DBMS. • Adaptable real-time transaction managers • A highly configurable kernel • Support for all major commercial RTOS • Ideal for time sensitive sensor data fusion • Support for shared data in Asymmetric Multiprocessing (AMP) configurations

Revenue
$1.9M
Year founded
2001
Team size
17

Frequently asked questions about Key Value Databases SaaS Companies

How many key value databases SaaS companies are there?

Latka tracks 11 key value databases SaaS companies with reported revenue. Together they generate $575.8M in annual revenue and employ 5.2K people.

Which key value databases SaaS company is the largest?

The Apache Software Foundation is the largest, with $259.3M in annual revenue, founded in 1999.

How much revenue does a typical key value databases SaaS company make?

The average key value databases SaaS company in this list makes $52.3M a year, across 11 companies with reported revenue.

Who are the leading Key Value Databases vendors?

Ranked by annual revenue, the leaders are The Apache Software Foundation, InterSystems, Aerospike, GigaSpaces and Arango.

How much funding have key value databases SaaS companies raised?

The 11 key value databases SaaS companies tracked here have raised $112.6M 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.