Databricks

Connect Databricks to Odeus to explore your Unity Catalog and discover data assets from your conversations

Overview

Databricks is a unified analytics platform for data engineering, data science, and machine learning. Once connected, you can use Odeus to explore your Unity Catalog — browsing catalogs, schemas, and tables, and searching for datasets directly from your conversations.

Authentication: API Key (Personal Access Token) Category: Data & Analytics Availability: All workspace plans

Prerequisites

• A Databricks workspace with Unity Catalog enabled
• Permission to generate personal access tokens in your workspace

Setup

Follow [Databricks' guide on Personal Access Tokens](https://docs.databricks.com/en/dev-tools/auth/pat) to generate a token in your workspace settings.



Your workspace URL is the base URL you use to access Databricks, e.g. `https://your-workspace.azuredatabricks.net` or `https://your-workspace.cloud.databricks.com`.



Go to [Integrations](https://app.odeus.ai/integrations) and find **Databricks** in the list.



Enter your workspace URL and personal access token, then save.



Tag the integration with `@` in any agent to start exploring your data catalog.

Common Use Cases

• Catalog Discovery — Browse catalogs, schemas, and tables across your Unity Catalog

• Table Exploration — Get detailed metadata for tables including column types, descriptions, and tags

• Data Search — Search for tables by name across catalogs when you know part of the dataset name

• Volume Browsing — List volumes within schemas to find unstructured data storage locations

Troubleshooting

Issue	Solution
Authentication failed	Verify the token is correct and hasn't expired — generate a new one if needed
Workspace not found	Check the workspace URL format: https://[workspace].azuredatabricks.net
Catalog not accessible	Ensure the token's user has the necessary Unity Catalog permissions
Token expired	Generate a new personal access token in Databricks settings and update the integration