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Top 9 NoSQL Databases SaaS Companies (November 2026)

As of November 2026, Latka tracks 9 NoSQL databases SaaS companies. They have combined revenues of $408.8M and employ 1.3K people. They have raised $498.2M and serve 9.5K customers combined.

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.

What NoSQL Databases SaaS Companies do

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.

Companies
9
Revenue
$408.8M
Funding
$498.2M
Employees
1.3K

Filters

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Top NoSQL Databases SaaS Companies by revenue

Showing 9 of 9 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
2Aerospike 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
3SequoiaDB logo
SequoiaDB

Shenzhen, Guangdong, China

Developer of database software designed to offer distributed database access for enterprises. The company's software helps enterprises securely store large amounts of transaction data and create data centers, enabling enterprises to improve their data storage and retrieval abilities.

Revenue
$24.2M
Year founded
2012
Team size
14
4ZILLIZ logo
ZILLIZ

Redwood City, California, United States

Developer of AI-oriented intelligent data processing platform intended to improve query performance. The company's OLAP database systems are based on GPU hardware acceleration which focuses on multiple fields including finance, telecommunications, healthcare and retail, enabling its customers to reduce hardware, operation and maintenance cost by over 10 times.

Revenue
$16.2M
Customers
1K
Year founded
2016
Funding
$53M
Team size
136
5Hazelcast 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
6Oxla logo
Oxla

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.

Revenue
$6.1M
Team size
39
7SurrealDB logo
SurrealDB

San Francisco, California, United States

SurrealDB is an innovative, multi-model, cloud-ready database, suitable for modern and traditional applications. Its versatility, and focus on developer experience, along with the ability for deployment on cloud, on-premise, embedded, and in edge computing environments, allows developers and organisations to meet the needs of their applications, without needing to worry about scalability or keeping data consistent across multiple different database platforms.

Revenue
$5M
Year founded
2022
Funding
$26M
Team size
45
8Alachisoft logo
Alachisoft

Dallas, Texas, United States

Use NCache to remove Data related performance bottlenecks!

Revenue
$3.8M
Year founded
1996
Team size
76
9Quasardb logo
Quasardb

Paris, Ile-de-france, France

Developer of a software storage technology designed to feed processors doing risk computations and receive the results reliably. The company's software storage technology develops a database management system based on not only structured query language (NoSQL) for hyperscalable architecture, enabling clients to avail high-performance, distributed and column-oriented database with native time series support.

Revenue
$1.6M
Year founded
2008
Team size
8

Frequently asked questions about NoSQL Databases SaaS Companies

How many NoSQL databases SaaS companies are there?

Latka tracks 9 NoSQL databases SaaS companies with reported revenue. Together they generate $408.8M in annual revenue and employ 1.3K people.

Which NoSQL databases SaaS company is the largest?

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

How much revenue does a typical NoSQL databases SaaS company make?

The average NoSQL databases SaaS company in this list makes $45.4M a year, across 9 companies with reported revenue. They serve 9.5K customers combined.

Who are the leading NoSQL Databases vendors?

Ranked by annual revenue, the leaders are Redis, Aerospike, SequoiaDB, ZILLIZ and Hazelcast.

How much funding have NoSQL databases SaaS companies raised?

The 9 NoSQL databases SaaS companies tracked here have raised $498.2M in disclosed funding between them.

Related IT Infrastructure Software categories

All IT Infrastructure Software SaaS categoriesEvery category we track inside IT Infrastructure Software, each ranked by revenue.Browse every SaaS industryThe full A-Z of SaaS categories Latka tracks, from NoSQL Databases to everything else.

Inclusion Criteria

- 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.