How Acryl DataHub compares to DataHub

DataHub is the #1 open source metadata platform for developers. Acryl DataHub takes DataHub to the next level by offering features that allow you to roll out the product to the entire organization beyond your central data platform team.

We’ve organized this comparison using a few categories:

• Search and Discovery: the ability to discover data assets at your organization and understand relationships between them
• Data Governance: features that help you govern the crown jewels of your organization, and trim out the datasets that seem to grow like weeds when no one’s looking
• Data Quality: features that help you ensure your data pipelines are producing high quality assets, and if they’re not, you’re the first to know
• Enterprise Grade: features needed to roll out at scale to large enterprises
• Implementation and Support: features related to ease of deployment and maintenance

How to read this list

Not a fan of checkboxes? Neither are we. As a result we simply color coded this list to give you a simple visual representation of things that are present in these platforms.

• Features available in both open source DataHub and Acryl DataHub are in green,
• Features available only in Acryl DataHub are in purple, and
• Features that are only available in open source DataHub are in blue.

Search and Discovery

Integrations for 50+ Data Sources
Table level, Column-level, Job-level lineage
Search across all metadata (technical, operational, business)
Usage and graph-based search ranking
Table and column-level lineage and impact analysis
Support for domains, data products, data contracts
Developer friendly experiences (for data engineers, AI engineers, etc.)
Business User friendly experiences (for data analysts, BI analysts, data governance leads, PMs, etc.)
Personalization across the product
BI tool browser extension
No-code metadata automations
Slack integration
Subscribe to changes and notify affected owners

Data Governance

Shift-Left governance
Dataset ownership management
Business glossary basics
Human-assisted Asset Certification Workflows (data owners, stewards)
Computational Governance standards as continuous tests
Approval Workflows - Business glossary modifications
Approval Workflows - Associating glossary terms with assets
Approval Workflows - Ownership

Data Observability

Surface data quality results
Build and enforce continuous data SLAs
Continuous monitoring of dataset health
Data observability alerts and notifications
Data Incident management

Enterprise Grade

Battle-tested open source metadata platform
Metadata change events as a real-time stream
99.5% Uptime SLA
Data Lake and Data Warehouse off-ramp for metadata analytics
Fine-grained access control policies (e.g., default DENY)
Pre-defined roles for permissions
Shared audit logs

Implementation and Support

Your own engineering team
Your private fork of DataHub
Community support
Cloud-hosted instance (AWS, GCP, BYOC)
Support for AWS PrivateLink, IP address restrictions, etc.
Accelerators for your code contributions to DataHub
Dedicated customer success team
Implementation Support
Ingestion Support
Dedicated Slack Support

More Questions?

Have more questions and want to talk to someone? Fill out the form using the link below, and someone from the Acryl team will reach out to set up a chat.

Learn about Acryl DataHub