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Top 11 Data Warehouse Solutions Companies (October 2026)

As of October 2026, Latka tracks 11 data warehouse solutions companies. They have combined revenues of $227.3M and employ 1.6K people. They have raised $782.8M and serve 1K customers combined.

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.

What Data Warehouse Solutions Companies do

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
11
Revenue
$227.3M
Funding
$782.8M
Employees
1.6K

Filters

Sorting: Highest -> Lowest

Filters

Top Data Warehouse Solutions Companies by revenue

Showing 10 of 11 companies ranked by annual revenue.

1VAST Data logo
VAST Data

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.

Revenue
$147M
Year founded
2016
Funding
$381M
Team size
825
2Dremio logo
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
Year founded
2015
Funding
$395M
Team size
370
3FalconStor Software logo
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
Team size
288
4Uni B Solutions logo
Uni B Solutions

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.

Revenue
$7.8M
Year founded
2012
Team size
3
5Cobalt Iron logo
Cobalt Iron

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.

Revenue
$6.4M
Year founded
2012
Team size
40
6West 4th Strategy logo
West 4th Strategy

McLean, Virginia, United States

A nationwide provider of high-tech professionals for federal agencies in data science cloud, infrastructure software development and systems integration

Revenue
$4.5M
Year founded
2011
Team size
41
7Artie logo
Artie

San Francisco, California, United States

Software that streams data from databases to warehouses in real-time

Revenue
$3.7M
Year founded
2023
Team size
8
8BEEM logo
BEEM

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.

Revenue
$1.9M
Year founded
2015
Team size
17
9IOMETE logo
IOMETE

Mountain View, California, United States

The Self-hosted Data Lakehouse Platform

Revenue
$1.8M
Year founded
2020
Team size
12
10Vitesse Data logo
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
Year founded
2014
Team size
2

Frequently asked questions about Data Warehouse Solutions Companies

How many data warehouse solutions companies are there?

Latka tracks 11 data warehouse solutions companies with reported revenue. Together they generate $227.3M in annual revenue and employ 1.6K people.

Which data warehouse solutions company is the largest?

VAST Data is the largest, with $147M in annual revenue, founded in 2016.

How much revenue does a typical data warehouse solutions company make?

The average data warehouse solutions company in this list makes $20.7M a year, across 11 companies with reported revenue. They serve 1K customers combined.

Who are the leading Data Warehouse solutions vendors?

Ranked by annual revenue, the leaders are VAST Data, Dremio, FalconStor Software, Uni B Solutions and Cobalt Iron.

How much funding have data warehouse solutions companies raised?

The 11 data warehouse solutions companies tracked here have raised $782.8M in disclosed funding between them.

Related IT Infrastructure Software categories

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