DataHub

United States - Palo Alto, California

• 22/05/2025
• Series B
• $35,000,000

Founded by data industry veterans and backed by LinkedIn, DataHub enables organizations to deploy AI in production through an enterprise-grade metadata platform handling 3M+ PyPI downloads monthly. Leveraging our extensible metadata graph architecture with lineage-driven compliance and API-first design, we've built a unified system for technical teams requiring production-grade discovery, observability, and governance. Our dual solutions—open-source DataHub Core and fully-managed DataHub Cloud—provide what enterprises need for continuous AI & data asset management at scale. DataHub is a unique solution in this space with the following key differentiators:

* Scalability: DataHub offers best-in-class enterprise-grade scalability in connecting to over 80 data sources, offering an embeddable connector framework, and ingesting large volumes and high velocity of metadata.

* Extensibility: DataHub’s highly extensible metadata model offers easy flexibility in adapting to an organization’s unique data landscape, entities, relationships, ownership, and custom metadata descriptors.

* Completeness: DataHub Cloud’s unified platform adds AI-based enhancements and automations for discovery & understanding, quality management, and collaborative governance, allowing users to confidently use and manage data and AI assets.

* Ease of Adoption: Customers of DataHub benefit from the joint innovation, peer support, and growing skill base of an energized community of over 13,000 DataHub practitioners. Its user-friendly interface has a powerful and intuitive design, making it easier for users to navigate and utilize its features without extensive training. The managed service of DataHub Cloud offers dedicated support, improved performance and availability, and secure deployment options to ease adoption across an enterprise.

For engineering teams deploying AI in production, DataHub delivers unified metadata infrastructure across all AI & data assets with enterprise-grade performance.

Related People

Swaroop JagadishFounder

United States - Mountain View, California

My childhood was spent like any typical kid…taking the bus to school, playing cricket, and having the time of my life in the royal city of Mysore. My dream was to achieve something beyond the walls of my community. I didn’t get into computer science until college, when one of my friends spent the summer learning programming, and suddenly it became cool.

Really, it was the inner workings that fascinated me - I loved learning how to assemble a computer. Only after I’d played around for a while, mastering what I could on Linux, did I begin to understand software.

For most of my career, I’ve sought out ways to use data and technology as a solution for complex issues facing global societies. My work began with a group of academics and engineers in bioinformatics - I was tasked with building tools for analyzing genomics data. From there, I earned my stripes working for some of the most renowned technology companies in the world, including Yahoo!, LinkedIn, and Airbnb. My primary role has been leading data platform teams to build systems that maximize the value of their data.

Supporting organizations at scale, you quickly learn how valuable and complicated managing data assets can be. As my skills and ambitions grew, I connected with my former colleague Shirshanka Das to start DataHub, a company based on our collective experiences in the industry, and built on top of DataHub Core, an open-source metadata platform that helps companies manage and leverage data at scale. Since then, we’ve built a world-class team, and are working furiously to help large organizations make the most of their data.

When I’m not at DataHub, I’m usually at home with my wife, gossiping with my little girl, or singing South Indian classical music to anyone who’ll listen.

LinkedIn https://www.linkedin.com/in/swaroopjagadish/