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Top 13 NoSQL Databases SaaS Companies in May 2026

As of May 2026, there are 13 SaaS companies in NoSQL Databases. They have combined revenues of $952M and employ 4.1K people. They have raised $1.9B and serve 10K customers combined.

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
13
Revenue
$952M
Funding
$1.9B
Employees
4.1K

Filters

Sorting: Highest -> Lowest

Filters

Top NoSQL Databases Companies

Showing 10 of 3 companies ranked by annual revenue.

1
Aerospike

Mountain View, California, United States

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

Revenue
$42.8M
Customers
-
Year founded
2009
Funding
-
Team size
287
Growth
-
2
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
Customers
-
Year founded
2012
Funding
-
Team size
14
Growth
-
3
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
Growth
-

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.