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Top 7 Data Fabric Software SaaS Companies in May 2026

As of May 2026, there are 7 SaaS companies in Data Fabric Software. They have combined revenues of $1.6B and employ 9.2K people. They have raised $1.7B and serve 13K customers combined.

Data Fabric Software provides a cohesive data management framework that integrates disparate data sources across various platforms and environments. It enables organizations to efficiently access, manage, and analyze their data in real time, promoting a unified view of data assets regardless of where they reside. This approach streamlines data workflows and enhances data governance, making it easier for businesses to comply with regulations and maintain data quality. The primary use cases for Data Fabric Software include data integration, data governance, and data accessibility. It offers features such as data virtualization, data cataloging, and automated workflows, which help organizations improve decision-making processes and support analytics. Typical users of these solutions include IT teams, data analysts, and data engineers who require real-time data access and management capabilities for operational and strategic needs.

Companies
7
Revenue
$1.6B
Funding
$1.7B
Employees
9.2K

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Top Data Fabric Software Companies

Showing 10 of 2 companies ranked by annual revenue.

1
Inrupt

Boston, Massachusetts, United States

Sir Tim Berners-Lee, inventor of the World Wide Web, created Solid to realize the web as he fully envisioned it. Sir Tim co-founded Inrupt to provide enterprise-grade Solid software and services. Inrupt’s data infrastructure software enables enterprises and governments to deploy and manage Solid-compliant solutions. Our products are the expression of decades of experience in security, compliance, and operational excellence.

Revenue
$3.2M
Customers
-
Year founded
2017
Funding
-
Team size
29
Growth
-
2
IOMETE

Mountain View, California, United States

The Self-hosted Data Lakehouse Platform

Revenue
$1.8M
Customers
-
Year founded
2020
Funding
-
Team size
12
Growth
-

Inclusion Criteria

- Must provide seamless integration across multiple data sources and environments - Should enable real-time data access and analytics capabilities - Must include features for data governance and compliance - Should support data virtualization and automated workflows - Not just offer data storage solutions; must also facilitate data management and usability improvements - Must cater to both structured and unstructured data types - Should include tools for data quality assessment and monitoring