What the Databricks connector unlocks
Centralized documentation for Databricks assets
Bring Delta tables, notebooks, and ML models into your DataGalaxy with full metadata context.
Embedded governance in the daily flow
Provide definitions, roles, and trust indicators directly within Databricks environments.
End-to-end lineage
Visualize how data flows and transforms across pipelines, from source to model or dashboard.
Confidence and control at scale
Support scalable AI initiatives with transparency, structure, and alignment to business goals.
Add meaning to your notebooks, pipelines, and models
With the Databricks connector, data teams can access definitions, ownership, and governance rules directly from their working environment.
Whether building pipelines, running notebooks, or training models, every asset is enriched with business context ensuring alignment, documentation, and accountability.
Align Databricks assets with business objectives
Connect your Databricks ecosystem to DataGalaxy to document lineage, lifecycle, and ownership across all assets.
This creates a single source of truth, bridging technical artifacts with business understanding.
Scale innovation without losing control
With full visibility into transformations, dependencies, and ownership, data and AI projects move faster—with less risk.
DataGalaxy turns governance into an enabler of agility, not a blocker.
Build a governed foundation for your AI strategy
Make Databricks a core part of your data governance fabric
By integrating Databricks with DataGalaxy, you give data engineers, scientists, and business stakeholders a shared, trusted framework to collaborate and deliver value together.
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