Developer tools and guidance

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

Section	Use this section when you want to…
Authentication	Authenticate with Databricks from your tools, scripts, and apps. You must authenticate with Databricks before you can work with Databricks resources and data.
IDEs	Connect to 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 Databricks IDE plugins.
SDKs	Automate Databricks from code libraries written for popular languages such as Python, Java, Go, and R.
SQL drivers and tools	Connect to Databricks to run SQL commands and scripts, interact programmatically with Databricks, and integrate Databricks SQL functionality into applications written in popular languages such as Python, Go, JavaScript and TypeScript.
Databricks CLI	Access 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 Databricks data and AI projects using Databricks Asset Bundles (DABs).
IaC	Automate the provision and maintenance of 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.

Tip

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