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DataHub + Databricks

Unlock trusted, AI-ready data across your entire Databricks ecosystem

DataHub delivers end-to-end visibility, intelligent governance, and real-time context for your Databricks environment and beyond.
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Why use DataHub with Databricks?

Break down silos. Scale with confidence.

db-icon Reduce data storage costs with real-time metadata intelligence
stopwatch-icon Launch AI models faster with a unified platform
shield-icon Decrease data incidents with enterprise-grade extensibility
wrench-icon Save on development costs with business-adaptive architecture 
Foursquare slashed their data discovery and access time using DataHub.
“Our teams reported a reduction in data discovery and access time from the order of days to minutes.”
Vikram Gundeti,
Chief Technology Officer, Foursquare

Make AI work for your data

check-icon Discover data using natural language search check-icon Uncover insights with AI-assisted summaries
check-icon Get instant documentation and automated context propagation check-icon Monitor quality with anomaly detection and assertions
check-icon Track end-to-end lineage and dependencies check-icon Enforce dynamic governance with policy workflows
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 png-transparent-databricks-logo-thumbnail-tech-companies-thumbnail-1  Built for Databricks

Including support for: 

  • Bi-directional metadata sync 
  • Cross-platform integration
  • End-to-end lineage
  • Business context enrichment
  • AI-powered data discovery

AI just got a direct line to your data

Learn about DataHub MCP in the June Town Hall

We will take you beyond the lakehouse with a live demo of how DataHub delivers the contextual intelligence layer that supercharges Databricks.
Discover how leading teams are:

  • Accelerating AI model development with reliable, cross-platform data delivered through unified REST and GraphQL APIs
  • Reducing data incidents by 60% using real-time, event-driven metadata propagation
  • Transforming data discovery from days to minutes with AI-powered search and natural language interfaces

 

Watch on demand
June Town Hall
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7 reasons to rethink your Data Catalog
Get the full analysis, including architectural requirements for modern metadata platforms, real-world examples, and an evaluation framework for your current solution.
Download the guide