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 by using popular integrated development environments (IDEs) such as Visual Studio Code, PyCharm, IntelliJ IDEA, Eclipse, and RStudio, as well as automate Databricks by using IDE plugins.
SDKs	Automate Databricks from code libraries written for popular languages such as Go.
SQL connectors/drivers	Run SQL commands on Databricks from code written in popular languages such as Python, Go, JavaScript, and TypeScript. Connect tools and clients to Databricks through ODBC and JDBC connections.
CLIs	Automate Databricks by using command-line interfaces (CLIs).
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 Databricks REST APIs.
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	Implement industry-standard continuous integration and continuous delivery (CI/CD) practices for Databricks by using popular systems such as GitHub Actions, Azure Pipelines, GitLab CI/CD, Jenkins, and Apache Airflow.
SQL tools	Run SQL commands and scripts in Databricks by using Databricks CLIs, as well as popular tools such as DataGrip, DBeaver, and SQL Workbench/J.
Service principals	Databricks recommends that you use service principals instead of users to authenticate automated scripts, tools, apps, and systems with Databricks workspaces and resources.

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.