Transforming Enterprise Data into Trusted Context
DataHub enables AI & data to work together, bringing order to data chaos

Real results from DataHub customers
ENTERTAINMENT/MEDIA
Netflix unifies discovery for AI-ready operation
Netflix unified discovery across data, ML, and software assets to eliminate siloed internal knowledge across a growing data estate. Cross-domain lineage enables proactive incident prevention while self-serve governance maintains standards at scale.
Partners
Committed to the DataHub open-source community
Where it all began
Our founders learned the value of metadata in the crucible of crisis. Shirshanka Das led the creation of DataHub, a high-performance metadata platform to solve LinkedIn’s GDPR compliance issues. Swaroop Jagadish helped build Airbnb’s DataPortal, using metadata to standardize business metrics crucial for the company’s IPO success.
DataHub has carried forward those innovations to build a Context Platform that is powered by the #1 open-source AI data catalog. DataHub uses enterprise-wide metadata to give comprehensive context, so analysts, engineers, and AI models can safely use and manage data.
The company is headquartered in Palo Alto, California, and serves customers globally.
Executive Leadership
Advisors


Join Our Team
Build the Context Layer for the AI Era
Data is powering AI. But without context, even the best models fall short.
At DataHub, we’re solving a foundational problem: how to make enterprise data discoverable, trustworthy, and ready for AI systems to use—autonomously and at scale.
Join us to help close the context gap in enterprise AI.
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