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Databricks and ContextBase

Databricks runs your lakehouse, and Genie answers questions over its tables. ContextBase reads Databricks in place, through the grants you set, alongside everything else your plan runs.

Databricks

The data in its own warehouse.

ContextBase

Every system, read in place, with knowledge your team approves.

How they fit together

What Databricks doesWhat ContextBase adds
Your dataDatabricksStores and serves it, in Unity CatalogContextBaseReads it in place, alongside every other system you run
What a metric meansDatabricksInstructions and examples in each Genie spaceContextBaseDefinitions and pitfalls drafted from your code, docs, and BI, approved by your team
Logic in other systemsDatabricksTables in the workspaceContextBaseStored procedures, ETL, wikis, and BI, read for what each column means
Where the knowledge livesDatabricksIn each Genie spaceContextBaseIn the knowledge graph, versioned and synced to your Git repo
Healthcare estatesDatabricksBuilt for every industryContextBaseBuilt for QNXT, Facets, HealthEdge, and the feeds a plan runs, with HITRUST i1, SOC 2 Type 2, and a BAA

What you get with both

  • Keep Databricks

    ContextBase reads Databricks through the grants you set, read-only, and works alongside the rest of your stack.

    Key benefitAdd the knowledge layer without a migration.
  • One map across the estate

    An answer can follow a claim from Databricks back to the system and the rule that produced it.

    Key benefitOne knowledge graph across every system you run.
  • Written once, used everywhere

    Knowledge your team approves serves every answer, dashboard, and agent, in ContextBase and in Claude or ChatGPT over MCP.

    Key benefitThe definition the last answer used is the one the next tool uses.

Databricks runs the lakehouse. In healthcare, the meaning of a number is rarely in the lakehouse alone. ContextBase reads Databricks with the rest of the estate and writes down what your team knows about it, so every answer starts from that knowledge.

Product names and logos belong to their owners. The description of Databricks is from its public materials, October 2026.

See it on your data.

Bring one question your team cannot answer today. We connect one system and show you the answer and the work behind it.