
## Databricks Data Quality Studio

URL: https://docs.atlan.com/product/capabilities/governance/data-quality/databricks

> Set up and configure Databricks for data quality monitoring through Atlan.

# Databricks Data Quality Studio

> **Overview:**
> Monitor the quality of your Databricks assets in Atlan using Databricks' native data quality capabilities. This integration lets you create rules, track metrics, and view data quality insights directly within Atlan's discovery, lineage, and data products.

## Get started

Follow these steps to set up Databricks as your data quality studio:

- [Set up Databricks](https://docs.atlan.com/llms/governance/data-quality/set-up-databricks/llms.txt)
- [Enable data quality on a connection](https://docs.atlan.com/llms/governance/data-quality/databricks-how-tos-enable-data-quality/llms.txt)

## References

- [Rule types and failed rows validations](https://docs.atlan.com/llms/governance/data-quality/rule-types-and-failed-rows/llms.txt): Reference guide for all available rule types and how failed rows validation works
- [Compute and cost tracking](https://docs.atlan.com/llms/governance/data-quality/compute-and-cost-tracking/llms.txt): How DQS uses compute resources, how to track spend, and how to optimize costs for Snowflake and Databricks.

## FAQ

- [Setup and configuration](https://docs.atlan.com/llms/governance/data-quality/setup-and-configuration/llms.txt): Common questions about Databricks setup and configuration.

_Last updated: 28 November 2025._

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