---
title: Databricks Connect for Scala | Databricks on AWS
source: https://docs.databricks.com/aws/en/dev-tools/databricks-connect/scala/
ingestedAt: "2026-06-18T08:06:38.500Z"
---

note

This article covers Databricks Connect for Databricks Runtime 13.3 LTS and above.

Databricks Connect enables you to connect popular IDEs such as IntelliJ IDEA, notebook servers, and other custom applications to Databricks compute. See [Databricks Connect](https://docs.databricks.com/aws/en/dev-tools/databricks-connect/).

*   For Databricks Connect for Python, see [Databricks Connect for Python](https://docs.databricks.com/aws/en/dev-tools/databricks-connect/python/).
*   For Databricks Connect for R, see [Databricks Connect for R](https://docs.databricks.com/aws/en/dev-tools/databricks-connect/r/).

## Get started[​](#get-started "Direct link to Get started")

To get started with Databricks Connect for Scala:

*   Confirm that your workspace and local development environment meet the Databricks Connect requirements and choose a Databricks Connect package version that is compatible with your configuration. See [Databricks Connect usage requirements](https://docs.databricks.com/aws/en/dev-tools/databricks-connect/requirements).
*   Install Databricks Connect. See [Install Databricks Connect for Scala](https://docs.databricks.com/aws/en/dev-tools/databricks-connect/scala/install).
*   Walk through the Databricks Connect for Scala tutorial. See [Tutorial: Run code from IntelliJ IDEA on classic compute](https://docs.databricks.com/aws/en/dev-tools/databricks-connect/scala/tutorial).

## Additional resources[​](#additional-resources "Direct link to Additional resources")

To learn more about Databricks Connect, see the following articles:

*   To configure compute, see [Compute configuration for Databricks Connect](https://docs.databricks.com/aws/en/dev-tools/databricks-connect/cluster-config).
*   To view additional simple code examples, see [Code examples for Databricks Connect for Scala](https://docs.databricks.com/aws/en/dev-tools/databricks-connect/scala/examples).
*   To view more complex code examples, see the [example applications for Databricks Connect](https://github.com/databricks-demos/dbconnect-examples) repository in GitHub, specifically:
    *   [A simple ETL application](https://github.com/databricks-demos/dbconnect-examples/tree/main/scala/ETL)
    *   [Charts visualizations with JFreeChart](https://github.com/databricks-demos/dbconnect-examples/tree/main/scala/Charts)
*   To migrate from Databricks Connect for Databricks Runtime 12.2 LTS and below to Databricks Connect for Databricks Runtime 13.3 LTS and above, see [Migrate to Databricks Connect for Scala](https://docs.databricks.com/aws/en/dev-tools/databricks-connect/scala/migrate).
*   See also information about [troubleshooting](https://docs.databricks.com/aws/en/dev-tools/databricks-connect/scala/troubleshooting) and [limitations](https://docs.databricks.com/aws/en/dev-tools/databricks-connect/scala/limitations).
