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Top 103 Data Virtualization Software SaaS Companies in May 2026

As of May 2026, there are 103 SaaS companies in Data Virtualization Software. They have combined revenues of $1.3B and employ 6.9K people. They have raised $1.5B and serve 2.6K customers combined.

Data Virtualization Software enables organizations to effectively access, manage, and integrate data across diverse sources without the need for physical data movement. This technology provides a unified view of data from multiple systems while improving data governance and accessibility. Its primary use cases include real-time data access for analytics, reporting, and decision-making processes. Common features of data virtualization solutions include data abstraction, integration capabilities, centralized data management, and user-friendly interfaces for data queries. Buyer personas typically consist of IT professionals, data analysts, and business intelligence teams looking to improve data accessibility and streamline complex workflows across various platforms. These tools are invaluable in environments where managing data proliferation and ensuring data integrity are crucial to business operations.

Companies
103
Revenue
$1.3B
Funding
$1.5B
Employees
6.9K

Filters

Sorting: Highest -> Lowest

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Top Data Virtualization Software Companies

Showing 10 of 103 companies ranked by annual revenue.

1
Denodo Technologies Inc

Palo Alto, California, United States

data virtualization software company

Revenue
$288.5M
Customers
-
Year founded
1999
Funding
-
Team size
771
Growth
68.39%
2
Delphix

Redwood City, California, United States

Delphix provides an intelligent data platform that accelerates digital transformation for companies around the world.

Revenue
$124M
Customers
-
Year founded
2008
Funding
$119.5M
Team size
434
Growth
65.34%
3
Alation

Redwood City, California, United States

Alation is a data intelligence platform that helps organizations to find, understand, and use their data effectively. The platform provides a central hub for data discovery, management, and collaboration, enabling teams to access and analyze data across multiple sources and formats. Alation uses machine learning and natural language processing (NLP) to provide automated data governance and curation, including data cataloging, lineage tracking, and metadata management. This helps organizations to improve the accuracy and reliability of their data, and to make more informed and data-driven decisions. The company was founded in 2012 and is headquartered in Redwood City, California. Alation serves a variety of industries, including finance, healthcare, and technology, and has customers such as Pfizer, General Electric, and Munich Re.

Revenue
$109M
Customers
-
Year founded
2012
Funding
$192M
Team size
629
Growth
36.08%
4
FINBOURNE Technology

London, England, United Kingdom

data management and analytics software

Revenue
$100M
Customers
-
Year founded
2016
Funding
$5.5M
Team size
273
Growth
176.44%
5
canoeintelligence.com

New York, New York, United States

Canoe develops an AI technology to help alternative investment firms streamline their data management processes, providing an automated solution for managing unstructured investment data.

Revenue
$62.6M
Customers
-
Year founded
2017
Funding
-
Team size
187
Growth
-
6
Exusia

Miami, Florida, United States

Developer of enterprise-scale data management solutions intended to deliver end-to-end data management offerings. The company offers program management, data governance, technology consulting, business process optimization and management consulting, enabling clients to grow revenue and optimize costs through the use of data, analytics and complex event processing.

Revenue
$61.9M
Customers
-
Year founded
2012
Funding
-
Team size
404
Growth
45.78%
7
Ontop

Remote, Nevada, United States

AI-powered data integration and virtualization solutions

Revenue
$56.7M
Customers
-
Year founded
2020
Funding
$26M
Team size
359
Growth
274.63%
8
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
-
9
Census

San Francisco, California, United States

Census is a data automation platform that synchronizes customer's data warehouses with business systems and tools.

Revenue
$38.9M
Customers
-
Year founded
2018
Funding
$80.3M
Team size
186
Growth
3617.5%
10
Incorta

Foster, California, United States

Developer of a real-time analytics platform designed to aggregate large and complex business data. The company's platform is powered by a direct data mapping engine that offers unprecedented query performance, eliminates costly join operations altogether and reduces the time required to roll out new analytics applications from months to days, enabling analysts to uncover insights from large volumes of complex data stored in core business systems.

Revenue
$29.4M
Customers
2K
Year founded
2013
Funding
$192.4M
Team size
296
Growth
40.07%

Inclusion Criteria

- Must provide a virtualized data layer for abstraction and integration of data from multiple sources. - Should enable real-time access to data for analytics and reporting. - Must support centralized data governance and management functionalities. - Should have user-friendly interfaces for data querying and analysis. - Not limited to traditional data integration; must also facilitate seamless access to live data.

Data Virtualization Software SaaS Companies | GetLatka