Metadata Management
The Metadata Management Tool Built for Scale
Your pipelines pass. Your dashboards break anyway. DataHub automates metadata across 86+ sources so your team finds problems before the standup does.
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Connect Snowflake, dbt, Looker, and 83 more sources without custom scripts
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Column-level lineage shows exactly which fields break which dashboards
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RBAC, SSO, and audit logs built in for enterprise governance
See DataHub in your environment
Talk to an engineer about your specific stack and metadata challenges.
Trusted by modern data teams
The real problem
Why metadata management keeps breaking down
Fragmented metadata means your team spends hours debugging what should take minutes. The cost compounds every sprint.
Pipelines pass, dashboards break
Your tests go green. A downstream chart silently breaks. You find out when a stakeholder asks why the numbers changed.
Schema changes land without warning
A field gets renamed upstream. Three reports break before anyone on your team knows a change was made.
No one owns the data dictionary
Definitions live in Confluence, Slack, and someone's memory. New team members spend weeks learning what a field means.
Compliance audits expose gaps
Auditors ask where sensitive data lives. Your team spends days tracing lineage that should already be documented.
How DataHub helps
A better way to manage metadata at scale
DataHub replaces fragmented, manual metadata work with automated ingestion, field-level lineage, and governance built into the platform.
Automated ingestion across your stack
DataHub connects to 86+ sources out of the box. Metadata stays current without manual updates or custom pipeline code.
- 86+ native connectors including Snowflake, dbt, and Looker
- Scheduled and event-driven ingestion options available
- No custom scripts required to get started
Column-level lineage and impact analysis
Trace data from source to dashboard at the field level. Know which assets break before you push a schema change.
- Field-level lineage across tables, models, and dashboards
- Upstream and downstream impact shown in one view
- Change analysis runs before deployment, not after
Centralized metadata with schema tracking
Every schema change is versioned and visible. Your team always knows what changed, when it changed, and who changed it.
- Full schema version history retained automatically
- Change notifications routed to the right owners
- Searchable metadata catalog across all sources
Enterprise governance with RBAC and SSO
Access controls, audit logs, and SSO are built into the platform. Governance is enforced at the metadata layer, not bolted on.
- Role-based access control down to the dataset level
- SSO integration with Okta, Azure AD, and others
- Audit logs capture every access and change event
Getting started
How it works
Three steps from your first connector to a governed, searchable metadata catalog across your entire stack.
Step 1: Connect your sources
- Use native connectors for warehouses, BI tools, and pipelines
- Snowflake, Databricks, dbt, Airflow, Looker, and more
- No custom code required to pull your first metadata
Step 2: Contextualize your metadata
- DataHub links assets across systems into a unified graph
- Ownership, tags, and descriptions resolved automatically
- Column-level lineage built across every connected source
Step 3: Activate governance workflows
- Set access policies and route change alerts to owners
- Give every team a searchable view of your data landscape
- Audit logs and compliance reports available from day one
Enterprise ready
Built for enterprise metadata management
DataHub deploys in your cloud or on-premises environment with the security posture and integration breadth that enterprise data teams require.
Deployment options
- AWS, GCP, Azure, and self-hosted Kubernetes
- VPC isolation and private networking supported
- Metadata stored in your environment, not shared cloud
Security and compliance
- SOC 2 Type II certified
- RBAC, SSO, and full audit logging included
- Okta, Azure AD, and other SSO providers supported
Integrations
- Snowflake, Databricks, dbt, and Airflow
- Looker, Tableau, Power BI, and more BI tools
- GraphQL and OpenAPI for custom integrations
Customer voice
Trusted by modern data teams
Financial Services
Gartner Peer Insights
Key outcome
Lineage that took days now takes minutes
"DataHub gave us a single place to understand our data assets across every system. Lineage that used to take days to trace now takes minutes."
Frequently asked questions about metadata management
Most teams connect their first sources within a day. Full deployment
timelines depend on the number of sources and your security review process. DataHub's engineering team
supports you throughout onboarding and beyond.
DataHub supports 86+ native connectors covering data warehouses, lakes, BI
tools, orchestration platforms, and streaming systems. This includes Snowflake, Databricks, dbt,
Airflow, Looker, Tableau, and Power BI. The full connector list is available on the DataHub website.
DataHub is SOC 2 Type II certified. It supports RBAC, SSO, private
networking, and VPC deployment. Metadata is stored in your environment, not in a shared cloud. Audit
logs capture every access and change event for compliance reporting.
DataHub tracks lineage at the column level across tables, models, and
dashboards. You can trace any field from its origin to every downstream consumer in a single view.
Upstream and downstream impact analysis is available before you push a schema change.
Teams typically track reductions in time spent on incident triage, data
discovery, and compliance documentation. The right metrics depend on your environment and current pain
points. Your DataHub account team can help you define a measurement framework before you go live.
Bring order to your metadata today
See how DataHub fits your stack. Talk to an engineer, ask your hardest questions, and leave with a clear picture of what is possible in your environment.
Apache 2.0 open source
60+ pre-built connectors
Self-hosted or managed deployment