As of September 2026, Latka tracks 2 NoSQL databases SaaS companies with $5M–$10M in annual revenue. They have combined revenues of $15.3M and employ 228 people. They have raised $63.6M.
Every company below sells NoSQL 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.
NoSQL databases represent a category of database management systems designed to handle large volumes of unstructured and semi-structured data. Unlike traditional SQL databases, NoSQL solutions offer flexible data models, enabling users to store and retrieve data in various formats, such as key-value pairs, documents, column-family, or graphs. This flexibility makes them particularly suited for real-time analytics, content management, and applications requiring high scalability and performance. The primary use cases for NoSQL databases include managing big data, facilitating high-velocity data ingestion, and supporting applications in industries such as e-commerce, finance, healthcare, and social media. Common features of NoSQL databases include horizontal scaling, schema-less data storage, and support for distributed computing. Users typically include IT professionals, data analysts, and developers who seek to implement systems that can efficiently adapt to changing data requirements and support complex query operations. Organizations adopting NoSQL technology often require solutions that can manage a mix of structured and unstructured data, integrate seamlessly with existing architectures, and scale dynamically based on user demand. As companies increasingly focus on harnessing data for insights and operational efficiencies, NoSQL databases have become an essential component of modern data architecture.
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Showing 2 of 2 companies ranked by annual revenue.
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.
Warsaw, Mazowieckie, Poland
Oxla provides a database that specializes in lightning data processing, offering a distributed database platform capable of processing and handling large, complex queries with ease, designed to be compatible with PostgreSQL and optimized for modern hardware.
Latka tracks 2 NoSQL databases SaaS companies with $5M–$10M in annual revenue. Together they generate $15.3M in annual revenue and employ 228 people.
Hazelcast is the largest, with $9.2M in annual revenue, founded in 2008.
The average NoSQL databases SaaS company in this list makes $7.7M a year, across 2 companies with reported revenue.
Ranked by annual revenue, the leaders are Hazelcast and Oxla.
The 2 NoSQL databases SaaS companies with $5M–$10M in annual revenue tracked here have raised $63.6M in disclosed funding between them.
- The product must support various data models such as key-value, document, column-family, or graph. - Must provide capabilities for real-time data processing and analytics. - Should enable horizontal scaling to handle large volumes of data efficiently. - Must allow for schema-less data storage to accommodate unstructured and semi-structured data. - Should support distributed computing and high availability to minimize downtime. - Not just for read-heavy applications; must also effectively manage write-heavy workloads.
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