Data governance platform

Data Governance Software That Scales With You

Your pipelines pass. Your dashboards break anyway, and you find out in the standup. DataHub gives platform engineers automated lineage and policy-driven access control across 80+ sources.

  • Automated lineage from Snowflake, dbt, Airflow, and 80+ sources
  • Fine-grained RBAC with 40+ privilege types, down to column level
  • Data contracts that enforce freshness, schema, and quality SLAs
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See DataHub govern your data stack

A 20-minute session scoped to your environment, not a generic walkthrough.

Trusted by modern data teams
The real cost

What does data governance failure actually cost?

Governance gaps don't announce themselves. They surface in audits, broken dashboards, and incidents your team gets blamed for.

Lineage you can't trace

A schema changes upstream. Three dashboards break. You spend the afternoon tracing what happened instead of shipping.

Access control that doesn't scale

Manual permission management breaks at team scale. One misconfigured role exposes sensitive data across the org.

No contract, no accountability

Pipelines deliver stale or malformed data. Without enforced SLAs, no one knows until a stakeholder notices.

Discovery that goes nowhere

Engineers spend hours finding the right dataset. Without a searchable catalog, tribal knowledge is the only map.

How DataHub helps

A better way to govern your data stack

DataHub automates the governance work that slows platform teams down, from lineage to access control, so you spend less time firefighting.

Automated end-to-end lineage

DataHub captures column-level lineage automatically across your entire stack. When something breaks, you trace the root cause in seconds, not hours.

  • Column-level lineage across 80+ connectors
  • Impact analysis before schema changes ship
  • Lineage API for custom pipeline integrations

Policy-driven access control

Define fine-grained RBAC policies once and enforce them everywhere. Forty-plus privilege types let you control access down to the column, not just the table.

  • 40+ privilege types including column-level grants
  • Policy inheritance across asset hierarchies
  • Audit logs for every access decision

Data contracts with enforcement

Define freshness, schema, and quality SLAs as code. DataHub monitors compliance continuously and surfaces violations before they reach downstream consumers.

  • Contracts defined in YAML alongside pipeline code
  • Freshness, volume, and schema assertions built in
  • Alerts routed to Slack, PagerDuty, or webhooks

Searchable data asset catalog

Every dataset, dashboard, pipeline, and feature is indexed and searchable. Engineers find the right asset in seconds, with full context on ownership and quality.

  • Full-text and faceted search across all asset types
  • Ownership, tags, and documentation in one place
  • Glossary terms linked to physical data assets
Getting started

How data governance works with DataHub

Three steps from your existing stack to governed, trusted data. No rebuilding pipelines, no ripping out tools.

Step 1: Connect your sources

Ingest from Snowflake, dbt, Looker, Airflow, and 80+ sources
Pre-built connectors work with your existing infrastructure
Push or pull ingestion via CLI, SDK, or scheduled recipes

Step 2: Contextualize your assets

Lineage, ownership, and quality scores built automatically
Tag sensitive columns and apply classification policies
Business glossary terms linked to physical data assets

Step 3: Activate governance at scale

Enforce access policies and data contracts across the org
Surface violations before they reach downstream consumers
Teams like yours are already running this in production
Enterprise ready

Built for enterprise-grade security and scale

DataHub deploys in your environment, meets your security requirements, and connects to the tools your team already uses.

Deployment options

Self-hosted on Kubernetes or bare metal
DataHub Cloud: fully managed SaaS option
VPC deployment for air-gapped environments
Apache 2.0 open source core, no vendor lock-in

Security posture

SSO via OIDC and SAML 2.0
Role-based and attribute-based access control
Full audit trail for compliance and review
Data encryption in transit and at rest

Data governance tool integrations

GraphQL and REST APIs for custom integrations
Python SDK for programmatic metadata management
Webhook and event stream support for real-time sync
Slack and PagerDuty alerting out of the box
Trusted by data teams

What platform engineers say about DataHub

Gartner Peer Insights
Verified enterprise review
Reviewer verdict
Recommended for enterprise data governance
"DataHub gave our platform team the lineage and access control we needed without forcing us to rebuild our pipelines. We traced a production incident to a schema change in under five minutes."
Platform Engineer
Financial services, enterprise
Common questions

Frequently asked questions about data governance software

Most teams complete their first ingestion run within a day using the pre-built connectors and CLI. Full deployment timeline depends on the number of sources, your infrastructure setup, and how much metadata enrichment you want at launch. DataHub's ingestion recipes are declarative YAML files, so there is no custom code required to connect standard sources like Snowflake, dbt, or Airflow.
DataHub is designed to sit alongside your existing tools, not replace them. It ingests metadata from your current warehouses, transformation layers, orchestrators, and BI tools without requiring pipeline changes. The 80+ pre-built connectors cover the most common combinations in enterprise data stacks. If you use a tool that does not have a connector yet, the Python SDK and REST API let you build one.
DataHub supports SSO via OIDC and SAML 2.0, role-based access control, and fine-grained policies down to the column level. All metadata is encrypted in transit and at rest. Every access decision is logged for audit purposes. For teams with strict compliance requirements, DataHub can be deployed in a VPC or air-gapped environment where no data leaves your infrastructure.
The open source core is Apache 2.0 licensed and includes lineage, catalog, access control, and the ingestion framework. DataHub Cloud adds managed infrastructure, enterprise support SLAs, advanced observability features, and a hosted control plane so your team does not need to operate the platform. Which option fits depends on your team's capacity to run infrastructure and your compliance requirements around data residency.
Most commercial data governance tools are built for compliance teams and require significant configuration before platform engineers can use them. DataHub is API-first and built for the engineers who run the data platform, with programmatic metadata management, a GraphQL API, and an open source core that your team can inspect and extend. The trade-off is that self-hosted deployment requires infrastructure ownership, which DataHub Cloud addresses for teams that prefer a managed option.

Ready to govern your data stack?

You will speak with a DataHub engineer about your specific environment, not a generic walkthrough. Bring your stack details and your hardest governance question.

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Apache 2.0 open source 80+ pre-built connectors No vendor lock-in
Request a Demo