> For the complete documentation index, see [llms.txt](https://docs.zingg.ai/latest/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zingg.ai/latest/running/databricks.md).

# Running On Databricks

Step by Step Identity Resolution with Zingg on Databricks

You can run the **Zingg Community Version** on Databricks directly using the Databricks notebook interface.

## For running the Zingg Community version on Databricks:

This uses the Zingg Community Python API and supports Delta tables as well as Unity Catalog (for governed Delta tables) using UCPipe. An [example notebook](https://github.com/zinggAI/zingg/tree/0.7.0/examples/databricks/FebrlExample.ipynb) and a [step by step guide](https://www.zingg.ai/documentation-article/identity-resolution-on-databricks-for-customer-360) is available.

## For running the Zingg Enterprise version on Databricks:

This uses the Zingg Enterprise Python API and all [file formats and data sources and sinks](https://github.com/zinggAI/zingg/tree/0.7.0/docs/dataSourcesAndSinks/README.md) are supported within Databricks with **Zingg Enterprise** including Delta tables, Unity Catalog (for governed Delta tables), and InMemory.