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. We love well-organized checklists and we hope you love them too!
Search and Discovery
Features aimed at making it easy to discover data assets at your organization and understand relationships between them.
Feature | DataHub | Acryl DataHub |
---|---|---|
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 | ❌ | ✅ |
Browser extension for BI Tools | ❌ | ✅ |
No-code metadata automations for automated enrichment | ❌ | ✅ |
Slack integration | ❌ | ✅ |
Subscribe to assets, activity, and notifications | ❌ | ✅ |
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.
Feature | DataHub | Acryl DataHub |
---|---|---|
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
Features that help you ensure your data pipelines are producing high quality assets, and if they’re not, making sure you and impacted users are the first to know.
Feature | DataHub | Acryl DataHub |
---|---|---|
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
Features needed to roll out at scale to large enterprises.
Feature | DataHub | Acryl DataHub |
---|---|---|
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
Features related to ease of deployment and maintenance.
Feature | DataHub | Acryl DataHub |
---|---|---|
Community support | ✅ | ✅ |
Your own engineering team | ✅ | ❌ (They can instead focus on high-value work like contributing features to the open source product, or build amazing data applications with the APIs!) |
Your private fork of DataHub | ✅ | ❌ (You won't need to manage and maintain your own fork, upgrade to latest releases etc.) |
Accelerators for your code contributions to DataHub | ❌ | ✅ |
Cloud-hosted instance (AWS, GCP, BYOC) | ❌ | ✅ |
Support for AWS PrivateLink, IP address restrictions, etc. | ❌ | ✅ |
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