How can I use IntelliJ IDEA with Databricks?

IntelliJ IDEA by JetBrains is an integrated development environment (IDE) for JVM languages designed to maximize developer productivity. It does the routine and repetitive tasks for you by providing clever code completion, static code analysis, and refactorings, and lets you focus on the bright side of software development, making it not only productive but also an enjoyable experience. You can use IntelliJ IDEA on your local development machine to write, run, and debug code in Databricks, as follows:


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Databricks Connect in IntelliJ IDEA with Scala

Use IntelliJ IDEA Ultimate to write, run, and debug local Scala code on a remote Databricks workspace.

Databricks Asset Bundles

Use IntelliJ IDEA to make authoring, deploying, and running bundles easier. Databricks Asset Bundles (or bundles for short) enable you to programmatically define, deploy, and run Databricks jobs, Delta Live Tables pipelines, and MLOps Stacks by using CI/CD best practices and workflows.

Databricks CLI

Use the built-in Terminal in IntelliJ IDEA to work with Databricks from the command line.

Databricks SDK for Java

Use IntelliJ IDEA to write, run, and debug Java code that works with Databricks.

Provision infrastructure

Use the Terraform and HCL plugin for IntelliJ IDEA to make it easier to provision Databricks infrastructure with Terraform and follow infrastructure-as-code (IaC) best practices. Use IntelliJ IDEA to write and deploy Java definitions of Databricks infrastructure through third-party offerings such as the Cloud Development Kit for Terraform (CDKTF) and Pulumi.