DataHub
Open source metadata platform
Verified: 2026-07-01
Best for
- data engineering teams with platform skills
- flexible metadata graph and APIs
- custom data platform
Strengths
- Open source and flexibility
- Metadata graph, lineage, ownership
- Good APIs for integration
Weaknesses
- Technical maintenance on your side
- No ready-made business governance process
- Business adoption needs extra work
When to choose
- You have a platform engineering team
- You want control over the metadata layer
- Stack is custom (Spark, Airflow, own APIs)
When to avoid
- No team to maintain open source
- You need ready workflow for business stewards
- You need enterprise SLA from a vendor
Pricing (indicative)
Open source (no license fee) - TCO = hosting + team; commercial edition optional.
Features
- Yes - Data catalog
- Yes - Business glossary
- Yes - Lineage
- No - Data quality
- Yes - Data classification
- No - Access governance
- No - Workflow / stewardship
- No - AI context layer
Integrations
Kafka, Snowflake, BigQuery, dbt, Airflow
Sources and methodology
Informational content only. Verify pricing and feature scope with vendors before purchase.