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Top 12 Data Warehouse Solutions SaaS Companies in May 2026

As of May 2026, there are 12 SaaS companies in Data Warehouse Solutions. They have combined revenues of $765.3M and employ 5.2K people. They have raised $1.3B and serve 4.2K customers combined.

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.

Companies
12
Revenue
$765.3M
Funding
$1.3B
Employees
5.2K

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Top Data Warehouse Solutions Companies

Showing 10 of 2 companies ranked by annual revenue.

1
Vitesse Data

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.

Revenue
$765.7K
Customers
-
Year founded
2014
Funding
-
Team size
2
Growth
119.02%
2
Supergrain

San Francisco, California, United States

Data, Enterprise, SaaS - Data infrastructure to power modern business intelligence tools and data applications.

Revenue
$739.3K
Customers
-
Year founded
2021
Funding
$6.8M
Team size
4
Growth
25.73%

Inclusion Criteria

- 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