Data governance platform

Data governance framework built for scale

Your pipelines pass. Your dashboards break anyway. DataHub gives platform engineers a unified data governance framework that automates metadata, enforces policy, and surfaces lineage across your entire stack.

  • Connect 50+ sources and auto-collect metadata without rebuilding pipelines
  • Enforce RBAC policies and tag-based classification across every data asset
  • Detect data quality failures before they surface in a standup or audit
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See the framework in your environment

Talk to a DataHub engineer about your specific stack and governance goals.

Trusted by modern data teams
The real cost

What does governance failure actually cost?

Ownership gaps, lineage blind spots, and manual processes compound quietly until an audit or incident makes them visible.

No clear data ownership

Assets accumulate without owners. When something breaks, no one knows who to call or what changed upstream.

Lineage gaps at the worst time

Column-level impact is invisible until a dashboard fails. Tracing the root cause costs hours of context switching.

Compliance risk you cannot quantify

PII classification is inconsistent. Audit questions arrive before your governance coverage does.

Manual overhead that does not scale

Spreadsheet-driven cataloging and hand-written documentation slow every team that depends on data context.

How DataHub helps

A better way to govern your data at scale

Unified metadata foundation

One catalog for every asset

DataHub ingests metadata from 50+ sources and builds a shared data governance catalog your engineers, analysts, and compliance teams can all query.

  • Auto-ingest schemas, owners, and tags on a schedule
  • Search across warehouses, lakes, and pipelines
  • Link datasets to the teams and domains that own them
Flexible policy enforcement

Policies that follow the data

Define RBAC and attribute-based access rules once. DataHub propagates them across sources so access decisions stay consistent at every layer of your data governance platform.

  • Tag-based classification tied to access control rules
  • Policy inheritance across upstream and downstream assets
  • Audit-ready access logs for every governed resource
Proactive quality monitoring

Catch quality issues early

DataHub monitors freshness, volume, and schema drift continuously, surfacing anomalies before they propagate into reports or models. Data governance and data quality tools in one platform.

  • Freshness and volume checks on ingestion schedules
  • Schema change alerts routed to asset owners
  • Quality scores visible in the catalog alongside lineage
Governance automation

Automate repetitive governance work

DataHub exposes a GraphQL API and pre-built Actions framework so teams can wire data governance automation tools into existing CI/CD and orchestration workflows.

  • Trigger metadata updates from pipeline events automatically
  • Propagate ownership changes across dependent assets
  • Integrate with Airflow, dbt, and Kafka out of the box
The process

How it works

Three steps from first connection to governed, policy-enforced data across your entire stack.

Connect your sources

Use pre-built connectors for your warehouse and lake
Ingest BI tools and pipeline metadata in the same run
No custom ETL or pipeline rebuilding required

Contextualize with ownership

Assign domains, owners, and classifications to assets
Context propagates downstream to every consumer
Every team sees the same governance picture

Activate policies at scale

Enforce access rules and trigger quality checks via API
Expose lineage through GraphQL to downstream tools
Governance becomes part of your standard workflow
Enterprise ready

Built for enterprise-grade security and scale

DataHub fits the data governance framework tools and operating model your organization already runs on.

Deployment options for your model

Managed cloud service or self-hosted in your VPC
Same governance operating model across both options
Identical API surface regardless of deployment mode

Security controls you already use

SSO via OIDC and SAML included out of the box
Fine-grained RBAC and full audit logging included
DataHub Cloud is SOC 2 Type II certified

Integration ecosystem built to grow

Connects with dbt, Airflow, Spark, Kafka, and Looker
Open metadata standard supports custom connectors
Python SDK for building connectors without forking core
What teams are saying

Trusted by modern data teams

Gartner Peer Insights
Verified reviewer
Outcome
Faster incident resolution and reduced audit prep time
"DataHub gave us a single place to understand ownership, lineage, and classification across a very complex data environment. The time we used to spend tracking down context is now spent building."
Verified reviewer
Gartner Peer Insights
Common questions

Frequently asked questions about data governance framework

Most teams connect their first sources and see metadata in the catalog within a day. A production-grade deployment with policies, domains, and quality checks configured typically takes two to four weeks, depending on the number of sources and the complexity of your access model.
DataHub Cloud is SOC 2 Type II certified. The platform supports SSO via OIDC and SAML, fine-grained role-based access control, and full audit logging. Self-hosted deployments run entirely within your own network perimeter.
DataHub ships with connectors for 50+ sources including Snowflake, BigQuery, Redshift, dbt, Airflow, Spark, Kafka, Looker, Tableau, and more. The open metadata standard means the connector library continues to grow, and custom connectors can be built using the Python SDK.
DataHub maps directly to domain-oriented governance models. You can assign domain owners, delegate stewardship, and enforce policies at the domain level. The Actions framework lets you automate governance workflows so the operating model runs without manual coordination.
Teams using DataHub typically report faster incident resolution, reduced time spent on audit preparation, and improved confidence in data used for decisions. Specific outcomes depend on your starting point, which is why we recommend walking through your environment in a demo before setting expectations.

Ready to govern your data at scale?

See how DataHub fits your stack. A DataHub engineer will walk through your sources, your access model, and your governance goals. No slides required.

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SOC 2 Type II certified 50+ pre-built connectors Deploy in your own VPC