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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
Dremio

Santa Clara, California, United States

Dremio is the intelligent lakehouse platform trusted by thousands of global enterprises, including Shell, TD Bank, Michelin, and Farmer’s Insurance. AI and analytics initiatives face significant delays due to the time-intensive process of dataset creation. Data engineering teams are overburdened, disconnected data sources require complex ETL processes, and prolonged iteration cycles with business stakeholders slow progress. Dremio eliminates these bottlenecks by unifying data sources without ETL, simplifying the creation of high-quality, governed datasets, and delivering autonomous performance optimization to accelerate AI. From the original co-creators of Apache Polaris and Apache Arrow, Dremio is the only lakehouse built natively on Apache Iceberg, Polaris, and Arrow - providing flexibility, preventing lock-in, and enabling community-driven innovation.

Revenue
$41.5M
Customers
-
Year founded
2015
Funding
$395M
Team size
378
Growth
-
2
FalconStor Software

Austin, Texas, United States

Provider of data protection products. The company provides a platform for data migration, business continuity, disaster recovery, optimized backup and deduplication.

Revenue
$11.2M
Customers
1K
Year founded
2000
Funding
-
Team size
288
Growth
6.67%

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