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

Traditional Data Catalog

Check-the-box compliance audits

Reference source for a few users looking for datasets now and then

Meet scale, latency, and reliability requirements of data and AI in production

Unified platform for discovery, observability, and governance

Manage data and AI assets

Use automation and AI to strengthen data management reliability and speed

Designed for use by humans and machines

DataHub Cloud is the leading context management platform for enterprises

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

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Additional resources