> For the complete documentation index, see [llms.txt](https://documentation.immuta.com/2024.3/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentation.immuta.com/2024.3/integrations/databricks-unity-catalog.md).

# Databricks Unity Catalog

This integration allows you to manage and access data in your Databricks account across all of your workspaces. With Immuta’s Databricks Unity Catalog integration, you can write your policies in Immuta and have them enforced automatically by Databricks across data in your Unity Catalog metastore.

## [Getting started](/2024.3/integrations/databricks-unity-catalog/unity-catalog.md)

This getting started guide outlines how to integrate Databricks Unity Catalog with Immuta.

## How-to guides

* [Databricks Unity Catalog configuration](/2024.3/integrations/databricks-unity-catalog/how-to-guides/configure.md): Configure the Databricks Unity Catalog integration.
* [Migrate to Databricks Unity Catalog](/2024.3/integrations/databricks-unity-catalog/how-to-guides/migrating.md): Migrate from the legacy Databricks Spark integrations to the Databricks Unity Catalog integration.

## Reference guide

[Databricks Unity Catalog integration reference guide](/2024.3/integrations/databricks-unity-catalog/unity-catalog-overview.md): This guide describes the design and components of the integration.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://documentation.immuta.com/2024.3/integrations/databricks-unity-catalog.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.