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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

Filters

Top Data Virtualization Software Companies

Showing 10 of 4 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%

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.