# Running 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 an [example notebook](https://github.com/zinggAI/zingg/blob/main/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/blob/main/docs/dataSourcesAndSinks/README.md) are supported within Databricks with **Zingg Enterprise** including Unity Catalog, Delta file format and InMemory.