As of September 2026, Latka tracks 1 other Non-Relational databases software companies under $1M in annual revenue. They have combined revenues of $440K and employ 4 people.
Every company below sells other Non-Relational 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.
Other Non-Relational Databases Software encompasses a range of database management systems that do not adhere to the traditional relational database model. These systems are designed to handle a variety of data types and structures, including key-value pairs, documents, and graphs, allowing for more flexible data storage and retrieval. Use cases include applications that require high scalability, rapid development, and the ability to manage unstructured or semi-structured data, such as real-time analytics, content management, and social media platforms. Typical features of other non-relational databases include schema flexibility, horizontal scaling, and support for diverse data models. These databases often facilitate the rapid development of applications by providing developers with tools to quickly adapt to changing data requirements. Common buyer personas include software developers, data engineers, and IT administrators who seek to leverage these systems for new projects or to enhance existing applications with more dynamic data handling capabilities.
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Showing 1 of 1 companies ranked by annual revenue.
Toronto, Ontario, Canada
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Latka tracks 1 other Non-Relational databases software companies under $1M in annual revenue. Together they generate $440K in annual revenue and employ 4 people.
Zero dB is the largest, with $440K in annual revenue, founded in 2019.
The average other Non-Relational databases software company in this list makes $440K a year, across 1 companies with reported revenue.
Ranked by annual revenue, the leaders are Zero dB.
- The product must support various non-relational data models such as document stores, key-value stores, or graph databases. - It should allow for flexible schema definitions to accommodate changing data requirements. - The solution must provide horizontal scaling options to handle large volumes of data and high user loads. - It should enable high-performance data access and retrieval for real-time applications. - Not just a traditional database; must offer support for unstructured or semi-structured data types.
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