Data governance, simplified

Data governance software that scales

Your data team moves fast. Your governance program needs to keep up. DataHub gives you policy enforcement, lineage, and audit-ready compliance across 80+ sources.

  • Enforce access policies across Snowflake, BigQuery, Redshift, and 80+ sources
  • Trace data lineage to column level before an audit question becomes a crisis
  • Automate compliance workflows so your team stops answering the same questions
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Trusted by modern data teams
The real cost

What does governance failure actually cost?

Ungoverned data does not stay quiet. It surfaces in audits, board meetings, and the incidents your team finds out about too late.

Audit gaps you cannot close

When an auditor asks who accessed what and when, a spreadsheet is not an answer. Gaps in access history create compliance exposure that compounds over time.

Access sprawl across the stack

Permissions granted for a project and never revoked. Roles that grew beyond their original scope. Every ungoverned access path is a risk you are carrying silently.

Broken trust in the numbers

When two dashboards show different revenue figures, the problem is not the dashboards. It is the absence of a governed, traceable definition of what revenue means.

Compliance risk at scale

GDPR, SOC 2, HIPAA: each framework demands documented controls. Without automated enforcement, your team is manually assembling evidence every time a review arrives.

How DataHub helps

A better way to govern your data at scale

DataHub automates the governance work your team is currently doing by hand, across every source in your stack.

Access control

Fine-grained policies, enforced automatically

Define role-based, group-based, and attribute-based access policies for datasets, dashboards, and pipelines. DataHub evaluates them in real time and logs every decision for your audit trail.

  • RBAC policies across Snowflake, BigQuery, and 80+ sources
  • Real-time policy evaluation with full audit history
  • Manage permissions at role, group, or asset level
Data lineage

Column-level lineage across your entire stack

DataHub extracts lineage automatically from ingestion pipelines, SQL queries, and BI tools. Column-level tracking means you know exactly what breaks before a schema change ships.

  • Automatic lineage extraction from dbt, Airflow, and 80+ sources
  • Column-level impact analysis for schema change management
  • Visualize upstream and downstream dependencies in one view
Business glossary

One definition of revenue, enforced everywhere

Build a centralized business vocabulary with hierarchical term structures. Tags, terms, and classifications propagate automatically through lineage so every asset inherits the right context.

  • Hierarchical glossary terms with IsA and HasA relationships
  • Automatic tag and classification propagation through lineage
  • Ownership, domain, and description enrichment at scale
Compliance automation

Audit-ready compliance without manual work

Assertion-based data quality monitoring runs continuously. Retention policies enforce time-based and version-based rules automatically. Every metadata change is logged for compliance reporting.

  • Automated quality checks with assertion-based monitoring
  • Time-based and version-based retention policy enforcement
  • Complete audit logs of access events and metadata changes
The process

How it works

Three steps that work with your existing stack, not against it.

Connect your existing sources

Ingest metadata from Snowflake, dbt, Looker, Airflow, and 80+ connectors
No pipeline rebuilds required: DataHub reads from your existing infrastructure
Lineage extraction begins automatically on first ingestion run

Contextualize your data assets

Apply glossary terms, ownership, and domain assignments across your catalog
Classifications propagate through lineage to downstream assets automatically
Access policies attach to assets and evaluate in real time against your roles

Activate governance across your org

Data teams discover trusted, documented assets without filing a ticket
Compliance teams pull audit-ready reports from a single, governed source
Platform teams enforce policies programmatically via REST and GraphQL APIs
Enterprise ready

Built for enterprise-grade data governance

DataHub is deployed in production at companies managing petabyte-scale data estates, with the security posture and deployment flexibility enterprise procurement requires.

Deployment and security

Self-managed on AWS, GCP, Azure, or on-premises infrastructure
DataHub Cloud: fully managed with SOC 2 Type II compliance
Kubernetes-native deployment with Helm charts for production environments
REST and GraphQL APIs for programmatic governance and CI/CD integration
Complete audit logs of metadata changes, access events, and policy modifications

Integrations across your data stack

Cloud warehouses: Snowflake, BigQuery, Redshift, Databricks
Data lakes: S3, Azure Data Lake, Delta Lake, Apache Iceberg
BI tools: Tableau, Looker, Power BI, Superset
Orchestration: Airflow, dbt, Dagster, Prefect
Streaming: Kafka, Confluent Schema Registry, Kinesis

Gartner Peer Insights

Metadata Management Solutions

Rating

4.5 out of 5 across 12 reviews

Trusted by modern data teams

"DataHub brings a centralized single source of truth to all of your data operations. You can version your KPIs, discuss them, and align on them with the team."

Data Analyst

Software company (50M-1B USD revenue) Gartner Peer Insights, February 2026

Frequently asked questions about data governance software

DataHub is built on an open-source foundation with an API-first architecture, which means your team can integrate governance into existing CI/CD workflows rather than managing it as a separate system. It supports 80+ pre-built connectors for cloud warehouses, data lakes, BI tools, and orchestration platforms. Unlike legacy catalog tools that require manual curation, DataHub automates metadata ingestion, lineage extraction, and classification propagation. The result is a governance program that scales with your data platform rather than lagging behind it.
Most teams connect their first data sources within hours using DataHub's pre-built connectors for Snowflake, BigQuery, dbt, and Airflow. Automated lineage extraction begins on the first ingestion run, so you are not waiting weeks for a manual cataloging project to complete. The timeline to full production deployment depends on the size of your data estate and the number of sources you are connecting, but the initial value, lineage visibility and searchable metadata, is available from day one.
DataHub supports 80+ ingestion connectors covering cloud data warehouses, data lakes, BI tools, orchestration platforms, and streaming systems. If you are running Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow, Tableau, Looker, or Power BI, those connectors are pre-built and maintained. For sources not covered by a pre-built connector, DataHub's REST and GraphQL APIs allow your team to build custom integrations without modifying your existing pipelines.
DataHub supports self-managed deployments on AWS, GCP, Azure, or on-premises infrastructure using Kubernetes-native Helm charts. DataHub Cloud is the fully managed option and holds SOC 2 Type II certification. Both options include fine-grained role-based access control, complete audit logs of metadata changes and access events, and retention policy enforcement. Your team chooses the deployment model that fits your security and procurement requirements.
DataHub provides the audit trail, access control, and data classification infrastructure that compliance frameworks require. Audit logs capture every metadata change and access event. Retention policies enforce time-based and version-based rules automatically. Classification tags propagate through lineage so sensitive data is consistently labeled across your estate. DataHub does not certify your organization for any specific framework, but it gives your compliance team the documented controls and evidence they need to support those certifications.

Ready to govern your data with confidence?

DataHub gives your team policy enforcement, column-level lineage, and audit-ready compliance across your entire data stack. No manual cataloging. No governance debt.

"New-joiners are always impressed by the lineage features. Experienced developers appreciate the data quality checks."

Engineer, Services company (1B-10B USD revenue) Gartner Peer Insights, January 2026

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You will speak with a DataHub engineer about your specific environment. No sales script. 30 minutes.

SOC 2 Type II Self-managed or cloud 80+ pre-built connectors
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