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As of August 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.
Sorting: Highest -> Lowest
Showing 10 of 12 companies ranked by annual revenue.
Palo Alto, California, United States
Provider of cloud infrastructure technology designed for data protection, search, analytics, archival and copy data management.
New York, New York, United States
Accelerating time-to-insight for workload-intensive applications, the VAST Data Platform delivers scalable performance, radically simple data management and enhanced productivity for the AI-powered world. Launched in 2019, VAST is the fastest-selling data infrastructure startup in history.
- 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
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.
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.
Chicago, Illinois, United States
Provider of a platform for data storage and processing. The company offers a cloud-based platform UNiTY that helps to access real-time insight to any information needed without storing client's data.
Lawrence, Kansas, United States
Cobalt Iron delivers the industry's first enterprise-class cloud backup SaaS offering. Cobalt Iron's platform, Compass, scales from terabytes to exabytes and provides the simplicity not found in backup technologies and tools today. Cobalt Iron Compass is: - Delivered as a service and controlled via a web interface - A single, flexible deployment model scaling the range of private to hybrid to public - Leverages cloud investments in Amazon AWS, IBM SoftLayer, Microsoft Azure, and Google Cloud - Delivers industry leading features, functions, and platform/application support - Requires zero backup application expertise Cobalt Iron delivers innovative data protection solutions, enabling customers to transform their complex, backup-centric IT infrastructure into a recovery-centric, simple, scalable, flexible service. Cobalt Iron eliminates the burden of constantly monitoring, maintaining and upgrading in-house data protection environments, while allowing customers to retain full control.
McLean, Virginia, United States
A nationwide provider of high-tech professionals for federal agencies in data science cloud, infrastructure software development and systems integration
San Francisco, California, United States
Software that streams data from databases to warehouses in real-time
Montreal, Quebec, Canada
BEEM is a SaaS company providing an end-to-end cloud-based infrastructure that centralizes your data into one unified, secure and scalable data hub. What we do We act as the enabler to make it seamless, cheaper and faster to leverage all your data. Regardless of the data format, you can create more value from your existing and future technology stack, wether it is a mix of ERP, BI tool, CDP, CRM, Project Management tool, AI platform, etc. No more siloed data, barriers to automate data pipelines and limitations to make data-driven decisions. What we bring We hand picked a group of talented data experts to work as an extension to your teams, coupled with a best-of-breed technology infrastructure so that your whole organisation feels worry-free about maximizing the power of your data.
