As of August 2026, Latka tracks 1 columnar databases SaaS companies. They have combined revenues of $223.2K and employ 6 people.
Every company below sells columnar 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.
Columnar databases are a type of database management system that store data in columns rather than rows. This structure allows for more efficient data processing and retrieval, making them particularly suitable for analytical workloads. They help in reducing the amount of data scanned during queries, which is crucial for applications that involve large volumes of data, like business intelligence and analytics. Common use cases for columnar databases include generating reports, building dashboards, and conducting complex queries for insights. They are especially useful for organizations that need to analyze vast datasets quickly and effectively. Typical users of columnar databases often include data analysts, business intelligence professionals, and data engineers who require rapid access to structured data for decision-making purposes.
Sorting: Highest -> Lowest
Showing 1 of 1 companies ranked by annual revenue.
Waterloo, Ontario, Canada
Developer of an intelligent database management platform designed to increase project success and reduce risk. The company's intelligent database management platform develops a search engine that helps indexing of data, fast data discovery and cleansing, enabling businesses to get a faster, better and significantly lower costs data management software.
Latka tracks 1 columnar databases SaaS companies with reported revenue. Together they generate $223.2K in annual revenue and employ 6 people.
CeeqIT is the largest, with $223.2K in annual revenue, founded in 2007.
The average columnar databases SaaS company in this list makes $223.2K a year, across 1 companies with reported revenue.
Ranked by annual revenue, the leaders are CeeqIT.
- Must store data in a column-oriented format for efficient querying. - Should support high-performance analytics and reporting capabilities. - Must enable large-scale data processing with minimal resource consumption. - Should integrate with data visualization tools to facilitate business intelligence workflows. - Not just providing basic data storage; must also include advanced indexing and compression techniques.
Sign up to access all features
Sign up with GoogleSign up with LinkedInAlready have an account? Log in
GetLatka is trusted by 200k+ founders, researchers, and marketers.
No contracts, cancel at any time