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.
Sorting: Highest -> Lowest
Showing 10 of 7 companies ranked by annual revenue.
San Jose, California, United States
Our mission at Cohesity is simple: to protect, secure, and provide insights into the world’s data. The largest organizations around the globe rely on us to strengthen their business resilience.
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.
Seattle, WA, United States
Modern enterprises have to manage exponentially-growing exabyte-scale data stores comprised mostly of unstructured data. Someone (often IT) has the difficult job of staying on top of managing these data stores, which becomes more difficult to do as enterprise datasets expand from the data center to the edge and cloud. And while scale and complexity are rising, budgets and staff are not. Existing solutions suffer from two crucial shortcomings: Complexity and platform lock-in. Legacy solutions are excruciatingly complex to deploy and manage. And nearly every solution restricts users to running in only the data center and on expensive, inflexible proprietary hardware platforms. Qumulo is the simple way to manage exabyte-scale data anywhere — edge, core, or cloud — on the platform of your choice. In a world with trillions of files and objects comprising 100+ zettabytes worldwide, companies need a solution that combines the ability to work anywhere with simplicity. This is precisely what Qumulo was founded to accomplish.
Detroit, Michigan, United States
Provider of a digital infrastructure platform designed to offer open access to the world's civic data in one place, in real-time and with a uniform API. The company's digital infrastructure platform offers universal tool for data management and collaboration, integrate data from any source, map different data types and create real-time data feeds, enabling city managers to city workers to make better data-driven decisions, drive performance and manage vendors.
Santa Clara, California, United States
Baya Systems accelerates intelligent compute with software-defined fabric solutions for scalable AI and HPC systems. The company allows for creating efficient chips by breaking down complex designs into smaller, modular chiplets, enabling the semiconductor industry to address increasing complexity and decreasing design cycles.
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.
- 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
Each Tuesday, we reverse-engineer a real SaaS company's revenue, profit, CAC, funnels, and its top growth tactic.
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