Make AI & Data
ready for production

Traditional data catalogs are incomplete and insufficient
Most data catalogs are architecturally unable to manage in-production use cases, govern AI & data in a unified way, and use automation to improve efficiency.
Feature 382_d61513-07> |
Traditional Data Catalog 382_9b48c8-be> |
DataHub Cloud 382_ae5536-9a> |
---|---|---|
Check-the-box compliance audits 382_af53dd-23> | 382_cda3d9-9b> | 382_bf40da-28> |
Reference source for a few users looking for datasets now and then 382_f88448-0b> | 382_3bbe5b-96> | 382_22acf6-a9> |
Meet scale, latency, and reliability requirements of data and AI in production 382_e1266a-36> | 382_68720e-7f> | 382_203e44-2a> |
Unified platform for discovery, observability, and governance 382_482246-13> | 382_a7216b-84> | 382_4abe76-88> |
Manage data and AI assets 382_a6fc4f-c8> | 382_bef81c-12> | 382_bc15e2-63> |
Use automation and AI to strengthen data management reliability and speed 382_686fb2-b5> | 382_81b5e8-cb> | 382_de8bbe-90> |
Designed for use by humans and machines 382_691218-08> | 382_c27e6e-82> | 382_d1b07e-06> |
DataHub Cloud is the leading context management platform for enterprises
DataHub Cloud provides a fully-managed service of DataHub with added AI-enhanced capabilities in discovery, observability, and governance to accelerate production-readiness of AI and data assets.

Data analysts, developers, and data scientists
Easily find trusted datasets with the most current data

- Access data where you work with a Chrome Extension for BI tools
- Discover data your way—personalization for multiple business and technical user profiles
- Support AI models and automations with a metadata graph that keeps up with today’s data volume and velocity
- Understand data provenance with table, column, and job level lineage graphs
- Auto-enrich metadata with no-code automation
- Use AI-generated documentation and propagation to better understand context
- Always stay up-to-date with subscriptions to assets, activity and notifications
Data engineers
Deliver reliable data quality

- Provide end-to-end observability with user-created data quality checks and reports
- Surface data quality results and impact analysis across all points in lineage
- Use AI Anomaly Detection for freshness, volume, and column stats
- Easily keep an eye on data quality with assertions and AI-based smart assertions
- Evaluate data contracts and quality checks on-demand with API
- Get notified where you work (Slack, e-mail, and more)
- Easily manage data quality with a data health dashboard
Data governance teams
Ensure continuous AI & data governance in production versus episodic compliance checks

- Ensure every AI & data asset is accounted for by defining and enforcing documentation standards
- Integrate governance practices early with automated shift-left governance
- Automatically classify your data as it moves and transforms with lineage-driven compliance
- Keep tags harmonized with seamless metadata flow between DataHub and source systems
- Deliver continuous compliance monitoring with forms, impact analysis, and reporting
- Create and implement bespoke compliance approval workflows