As of November 2026, Latka tracks 1 document databases SaaS companies with $10M–$100M in annual revenue. They have combined revenues of $24.2M and employ 14 people.
Every company below sells document 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.
Document databases are a category of NoSQL databases that store, manage, and retrieve data in a flexible, document-oriented format, most commonly using JSON or similar structures. Unlike traditional relational databases, which organize data in tables composed of rows and columns, document databases use collections of documents, allowing each document to possess its own unique structure and schema. This flexibility provides developers the ability to store complex data types and relationships more naturally. Typical use cases for document databases include content management systems, product catalogs, and user profiles where the schema can evolve over time without requiring significant changes to the underlying database structure. They offer features such as dynamic schemas, efficient querying, and horizontal scalability, making them suitable for applications that demand rapid development and iteration. Common users of document databases often include developers, data analysts, and IT departments who need to manage large volumes of semi-structured data efficiently.
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Showing 1 of 1 companies ranked by annual revenue.
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.
Latka tracks 1 document databases SaaS companies with $10M–$100M in annual revenue. Together they generate $24.2M in annual revenue and employ 14 people.
SequoiaDB is the largest, with $24.2M in annual revenue, founded in 2012.
The average document databases SaaS company in this list makes $24.2M a year, across 1 companies with reported revenue.
Ranked by annual revenue, the leaders are SequoiaDB.
- Must store data in a document-like structure such as JSON or BSON. - Should support dynamic schema capabilities to allow for flexible data modeling. - Must enable efficient querying and indexing of documents to facilitate quick data retrieval. - Should offer scalability features to handle large data sets without a decline in performance. - Not just a data store; must also provide tools for data management and analysis.