As of September 2026, Latka tracks 2 data warehouse solutions companies under $1M in annual revenue. They have combined revenues of $1.5M and employ 6 people. They have raised $6.8M.
Every company below sells data warehouse solutions 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.
Data Warehouse Solutions are centralized systems designed to store, manage, and analyze large volumes of data drawn from various sources. These systems enable organizations to consolidate disparate data, which is essential for effective business intelligence and data analytics. Typical use cases include reporting, data mining, and providing insight into business operations over time. Key features of data warehouse solutions include ETL (Extract, Transform, Load) processes for data integration, support for complex queries, and the ability to handle large datasets with high performance. Common user personas include data analysts, business intelligence professionals, and IT personnel who require seamless access to processed data for informed decision-making and operational efficiency. These solutions play a pivotal role in helping organizations derive actionable insights from their data. By facilitating comprehensive data analysis, they support various business functions, including marketing, finance, and strategy development. Overall, data warehouse solutions empower organizations to harness their data and improve their competitive edge.
Sorting: Highest -> Lowest
Showing 2 of 2 companies ranked by annual revenue.
United States
Developer of a SaaS based data processing software designed to unleash the power of modern CPUs. The company's software uses open source databases to accelerate Generic Probe Database Browser (GPDB) for the data warehouse, enabling users to enhance their system's efficiency.
San Francisco, California, United States
Data, Enterprise, SaaS - Data infrastructure to power modern business intelligence tools and data applications.
Latka tracks 2 data warehouse solutions companies under $1M in annual revenue. Together they generate $1.5M in annual revenue and employ 6 people.
Vitesse Data is the largest, with $765.7K in annual revenue, founded in 2014.
The average data warehouse solutions company in this list makes $752.5K a year, across 2 companies with reported revenue.
Ranked by annual revenue, the leaders are Vitesse Data and Supergrain.
The 2 data warehouse solutions companies under $1M in annual revenue tracked here have raised $6.8M in disclosed funding between them.
- Must enable consolidation of data from multiple sources - Must support ETL processes for data integration - Must provide fast querying capabilities for large datasets - Must facilitate data analysis and reporting for business intelligence purposes - Must cater to user personas such as data analysts and IT professionals - Not just offering data storage; must also provide analytical tools and dashboards
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