Databricks Integration

Databricks is a data lakehouse platform for unified analytics, data engineering, and machine learning. Connect Databricks to Basedash to ask questions, build dashboards, and automate reporting with AI.

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Chat/Databricks growth

Connected

Show Databricks weekly trend over the last 12 weeks, with the prior period as a comparison.

Pulled the last 12 weeks from databricks. Up +38% vs. the prior period — growth accelerating in the last four weeks.

Databricks weekly

94+38%(42)

Databricks

68+13%(38)

Prior period

12 weeks

Save it to the Acme Corp dashboard.

Ask a follow-up about Databricks…↵

Basedash connects to a Databricks SQL warehouse and queries your lakehouse in place, respecting Unity Catalog permissions.

Read the Databricks setup guide

Find the connection details
Open your SQL warehouse in Databricks and copy the server hostname and HTTP path from Connection details.
Add a token
Enter the hostname, HTTP path, and a personal access token or service principal token. Optionally set a default Unity Catalog catalog.
Connect and sync the schema
Basedash checks the warehouse, then syncs the catalogs and schemas the token can see.

Permissions for the token's identity

CAN USE on the SQL warehouse
USE CATALOG and USE SCHEMA on what you want to analyze
SELECT on the tables and views Basedash should see

Imagine ChatGPT or Claude, but with full context of your Databricks schema and how your team uses it. Basedash answers in plain language, backed by real queries.

Try asking

Revenue by region from Databricks for the last four quarters.
Which Databricks tables power our core KPIs, and how fresh are they?
Compare weekly active accounts in Databricks against last year.
Break down Databricks orders by product line and channel.

Plain-language queries

Ask follow-ups in natural language. Basedash translates them into SQL against your Databricks data.

Knows your business

Basedash learns your KPIs, schemas, and the way your team talks about Databricks.

Agentic by default

Runs multiple queries, resolves errors, and keeps iterating until the answer is right.

Keep querying Databricks directly, and sync your SaaS tools into a managed warehouse to see how sales, finance, product, and operations actually connect.

Queries run in placeBasedash connects to Databricks directly and queries your data where it lives. No copies to keep in sync.
Scoped credentialsConnect with a dedicated Databricks user or key so Basedash only sees the data you grant.
SaaS data alongsideSync CRM, billing, and support tools into Basedash Warehouse and analyze them in the same workspace.

Explore the warehouse

Common questions about Databricks and Basedash

Does Basedash need a Databricks SQL warehouse?

A SQL warehouse is recommended, and an all-purpose cluster also works. Copy the server hostname and HTTP path from the warehouse's Connection details page. Size the warehouse for your workload and set auto-stop so it doesn't run up costs between queries.

Should I use a personal access token or a service principal for Basedash?

Use a service principal. Its token isn't tied to one person's account, so it keeps working when people change roles, and you can grant it exactly the Unity Catalog privileges Basedash needs. Rotate the token regularly either way, and check its expiry if connections start failing.

Which Unity Catalog permissions does Basedash need?

The token's identity needs CAN USE on the SQL warehouse, USE CATALOG and USE SCHEMA on the catalogs and schemas you want to analyze, and SELECT on the tables and views Basedash should see. If your workspace has IP access lists, allow Basedash to connect as well.