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 using Databricks Connect with popular integrated development environments (IDEs) such as Visual Studio Code, PyCharm, IntelliJ IDEA, Eclipse, RStudio, and JupyterLab, as well as Azure Databricks 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.
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.
Databricks CLI Access Azure Databricks functionality using the Databricks command-line interface (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.
Databricks Asset Bundles Implement industry-standard development, testing, and deployment best practices for your Azure Databricks data and AI projects using Databricks Asset Bundles (DABs).
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 Integrate popular CI/CD systems and frameworks such as GitHub Actions, DevOps pipelines, Jenkins, and Apache Airflow.


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.