Developer tools and guidance

Learn about tools and guidance you can use to work with Azure Databricks resources and data and to develop Azure Databricks applications.

Section	Use this section when you want to…
Authentication	Authenticate with Azure Databricks from your tools, scripts, and apps. You must authenticate with Azure Databricks before you can work with Azure Databricks resources and data.
IDEs	Connect to Azure Databricks by using popular integrated development environments (IDEs) such as Visual Studio Code, PyCharm, IntelliJ IDEA, Eclipse, and RStudio, as well as automate Azure Databricks by using IDE plugins.
SDKs	Automate Azure Databricks from code libraries written for popular languages such as Python, Java, Go, and R.
SQL connectors/drivers	Run SQL commands on Azure Databricks from code written in popular languages such as Python, Go, JavaScript, and TypeScript. Connect tools and clients to Azure Databricks through ODBC and JDBC connections.
CLIs	Automate Azure Databricks by using the Databricks command-line interface (CLI). Query data warehouses from the command line by using the Databricks SQL CLI.
Utilities	Use Databricks Utilities from within notebooks to do things such as work with object storage efficiently, chain and parameterize notebooks, and work with sensitive credential information.
REST API Reference	Look up reference information for the Azure Databricks REST APIs.
IaC	Automate the provision and maintenance of Azure Databricks infrastructure and resources by using popular infrastructure-as-code (IaC) products such as Terraform, the Cloud Development Kit for Terraform, and Pulumi.
CI/CD	Implement industry-standard continuous integration and continuous delivery (CI/CD) practices for Azure Databricks by using Databricks Asset Bundles, and popular systems and frameworks such as GitHub Actions, DevOps pipelines, Jenkins, and Apache Airflow.
SQL tools	Run SQL commands and scripts in Azure Databricks by using the Databricks SQL CLI, the Databricks Driver for SQLTools, and popular tools such as DataGrip, DBeaver, and SQL Workbench/J.

Tip

You can also connect many additional popular third-party tools to clusters and SQL warehouses to access data in Azure Databricks. See the Technology partners.