DataHub
Open-source metadata platform for data discovery and AI-ready data governance.
About
DataHub is the leading open-source metadata platform, originally created at LinkedIn and now developed by Acryl Data, which rebranded itself as DataHub in 2025. It provides a real-time, event-driven metadata repository covering data discovery, lineage, ownership, quality signals, and access control across warehouses, lakes, BI tools, and pipelines.
In May 2025 the company raised a $35M Series B led by Bessemer Venture Partners, bringing total funding to $65M, explicitly to build a context management platform for data, AI models, and AI agents. The open-source project is used by more than 3,000 organizations including Apple, Netflix, and Slack, and its managed DataHub Cloud offering has seen rapid growth as enterprises look to make their data AI-ready.
What it can do
- Real-time event-driven metadata ingestion
- Data discovery search and column-level lineage
- Ownership, domains, and data product organization
- Access policies and data observability signals
- APIs and integrations across 3,000+ deployments
Setup
Self-host via Docker or Helm, or sign up for DataHub Cloud; ingest metadata with the built-in connectors for Snowflake, BigQuery, dbt, and more.
Prerequisites
A data warehouse or lake you want to catalog; Docker or Kubernetes for self-hosting.
Use cases
Works with
Trust score — 9/10
Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 90; Trending score 88/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.