How to connect Databricks to an AI data analyst
Updated 2026-07-01
An AI data analyst is most useful when it runs on your real data. This guide shows how to connect Databricks so you can ask questions in plain English and get charts, dashboards and reports back — without writing SQL by hand.
The setup takes a few minutes: connect with a read-only user, let the analyst read the schema, and ask your first question. Your credentials are encrypted, and the analysis runs on your own AI provider key.
- 1
Get your Databricks connection details
You need the SQL warehouse's server hostname and HTTP path, plus a personal access token. Find these under the SQL warehouse's connection details in Databricks.
- 2
Create a read-only user (recommended)
Grant the token's user SELECT on the catalogs and schemas you want analysed via Unity Catalog. Keep it to read privileges only.
- 3
Create your account and add your AI key
Sign up, then add your own AI provider key (bring-your-own-key). If you don't have one yet, a free key takes about a minute to create — your key is encrypted and used only for your requests.
- 4
Add the Databricks connection
Add a data source, choose Databricks, and enter the server hostname, HTTP path and access token. Test and save — the token is encrypted at rest.
- 5
Let the AI read and annotate your schema
The analyst annotates your Unity Catalog tables and columns. With dbt on Databricks, point it at your target schema so it uses your models.
- 6
Ask your first question in plain English
Ask something like "Weekly active users by product surface". On complex questions the analyst shows a readable query plan before it runs anything; review it, then get a chart plus the data behind it. Refine by chatting, then pin it to a dashboard or save it as a report.
Why connect Databricks instead of exporting
A static export goes stale the moment you download it, and a general AI assistant that only sees a pasted file guesses what your columns mean. A connected AI data analyst reads live Databricks data, shows the query plan before running it, and remembers what your fields mean between sessions — so answers stay current and consistent.
Databricks: things to know
- Use a running SQL warehouse; a stopped warehouse takes a moment to resume on the first query.
- The HTTP path is specific to each SQL warehouse — copy it from that warehouse's connection details.
Example questions to ask your Databricks data
- Weekly active users by product surface
- Revenue by segment this quarter
- Model inference volume by day
Keeping it safe
- Connect with a read-only user so the analyst can never change your data.
- A read-only SQL guard blocks anything that isn't a read query.
- Connection details and your AI key are encrypted at rest.
- Your business data isn't stored or used to train any model.
Frequently asked questions
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