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Top 1 Document Databases SaaS Companies Under $1M Revenue (September 2026)

As of September 2026, Latka tracks 1 document databases SaaS companies under $1M in annual revenue. They have combined revenues of $197K and employ 4 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.

What Document Databases SaaS Companies do

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.

Companies
1
Revenue
$197K
Funding
-
Employees
4

Filters

Sorting: Highest -> Lowest

Filters
Revenue
All<$1M$1M-$5M$5M-$10M$10M-$100M$100M+
Funding (Locked)Growth (Locked)Team-Size (Locked)

Top Document Databases SaaS Companies Under $1M Revenue

Showing 1 of 1 companies ranked by annual revenue.

1Structum, Inc. logo
Structum, Inc.

Santa Ana, California, United States

Structum, Inc. is a Software company that specializes in Cloud Computing and Distributed Systems. Structum is also the creator of iKnode. iKnode (pronounced I Know'd) is a simple yet powerful Backend as a Service (BaaS) which makes it extremely easy to create functionality in the cloud for Mobile, Web and Desktop applications. iKnode is a Backend Platform focused on creating behavior in the cloud using the beautiful C# language. iKnode can provides a no hassle hosting platform for APIs, whit a one-click deployment process. Write your application, test and publish it from inside your browser. Additionally, iKnode provides an intuitive Data Storage which is based on a Document database. Perform complex queries using iKnode's Query tool. Modify documents on the fly using our Document Browser tool. No backend would be complete without a way for automating API execution. iKnode provides a simple but powerful scheduler based on cron that allows for iKnode applications to run at specified

Revenue
$197K
Year founded
2012
Team size
4

Frequently asked questions about Document Databases SaaS Companies Under $1M Revenue

How many document databases SaaS companies under $1M in annual revenue are there?

Latka tracks 1 document databases SaaS companies under $1M in annual revenue. Together they generate $197K in annual revenue and employ 4 people.

Which document databases SaaS company under $1M in annual revenue is the largest?

Structum, Inc. is the largest, with $197K in annual revenue, founded in 2012.

How much revenue does a typical document databases SaaS company under $1M in annual revenue make?

The average document databases SaaS company in this list makes $197K a year, across 1 companies with reported revenue.

Who are the leading Document Databases vendors under $1M in annual revenue?

Ranked by annual revenue, the leaders are Structum, Inc..

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 Document Databases to everything else.

Inclusion Criteria

- 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.