Does connecting Databricks to Rig move my data?

No. Rig runs queries against your own Databricks SQL warehouse with a read-only identity. Results are returned to the asking user; the underlying data stays in your workspace.

Can I query Databricks data in Claude or ChatGPT through Rig?

Yes. Rig serves your Databricks lakehouse to AI assistants over MCP, so you can ask questions in Claude, Claude Code, Cursor, ChatGPT and others and get governed SQL answers.

How does Rig avoid wrong numbers on Databricks?

Rig builds a context layer over your tables, joins and metric definitions, then validates each generated query in a sandbox before running it. It reasons over modelled definitions rather than guessing column names.

Do Unity Catalog permissions still apply?

Yes. Unity Catalog grants, row filters and column masks carry through, and Rig adds its own access controls on top.

Warehouses & databases Supported

Databricks integration for Rig

The easiest way to query Databricks in Claude and other AI tools

Databricks is a data lakehouse platform where teams store and query analytics data, with Delta tables governed by Unity Catalog and served through SQL warehouses.

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What Rig sees in Databricks

Once connected, Rig models these objects so questions resolve to the right tables and joins:

Unity Catalog catalogs
Schemas
Tables and views
Delta tables
dbt models
Query history
SQL warehouse usage

How Databricks connects to Rig

Rig connects to a Databricks SQL warehouse with a read-only identity, reads Unity Catalog, and builds a context layer over your tables, joins and metric definitions. Queries run as Databricks SQL against your own compute, so data never leaves your workspace.

Let business teams query Databricks without writing SQL

Rig turns a plain-English question into validated Databricks SQL using your real schema, joins and metric definitions. A revenue lead can ask for last quarter's net revenue retention and get the same number an analyst would write, because Rig reasons over the modelled tables rather than guessing column names.

Ask Rig

What was our net revenue retention last quarter from the finance catalog?
Show monthly active accounts by plan for the last 12 months
Which customer segments grew fastest this year?

Explore Databricks data inside Claude, Cursor or ChatGPT

Rig exposes your Databricks lakehouse to AI assistants over MCP. The assistant sees your governed schema and metric catalog, not raw table dumps, so answers stay grounded in how your team actually defines revenue, churn and active users.

Ask Rig

Break down ARR by region using our Databricks models
Find the join path from orders to marketing attribution
Why did signups dip in March? Pull the numbers from Databricks

Govern Databricks access with Unity Catalog carried through

Because Rig runs read-only and validates every query in a sandbox before it touches your SQL warehouse, you avoid runaway scans and unbounded queries. Unity Catalog grants and column masking carry through, so each user only queries what they are allowed to see.

Ask Rig

Which queries scanned the most data this week?
Show SQL warehouse usage by team for the last 30 days
List the tables this user is allowed to query

Trace a metric back to its dbt model and source

Rig keeps dbt lineage alongside the Unity Catalog schema, so when someone asks how a number is built, the assistant can walk from the metric to the model to the raw Delta table. That ends the recurring argument about whose definition of the metric is right.

Ask Rig

How is active customer defined and which dbt model produces it?
What feeds the revenue table in Databricks?
Show the lineage for monthly recurring revenue

Ask your Databricks data in Claude, ChatGPT or Cursor

Rig serves your Databricks data to AI assistants over MCP. Once Databricks is synced into your warehouse, you can ask questions in plain English from the tool you already use, and every answer is backed by validated, governed SQL.

Frequently asked questions

Does connecting Databricks to Rig move my data?: No. Rig runs queries against your own Databricks SQL warehouse with a read-only identity. Results are returned to the asking user; the underlying data stays in your workspace.
Can I query Databricks data in Claude or ChatGPT through Rig?: Yes. Rig serves your Databricks lakehouse to AI assistants over MCP, so you can ask questions in Claude, Claude Code, Cursor, ChatGPT and others and get governed SQL answers.
How does Rig avoid wrong numbers on Databricks?: Rig builds a context layer over your tables, joins and metric definitions, then validates each generated query in a sandbox before running it. It reasons over modelled definitions rather than guessing column names.
Do Unity Catalog permissions still apply?: Yes. Unity Catalog grants, row filters and column masks carry through, and Rig adds its own access controls on top.