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Databricks actively supports developers who want to use their favorite language and corresponding tools to harness Databricks functionality. The following table provides links to overviews and information about developer-focused Databricks features and integrations by supported language, which includes Python, R, Scala, and SQL language support and many other tools that enable automating and streamlining your organization's ETL pipelines and software development lifecycle.
For recommendations about which language to use, see Choose a development language.
| If you are a… | Check out these Databricks features and tools… |
|---|---|
| Python developer | Azure Databricks for Python developers Databricks SDK for Python PyCharm Databricks plugin Visual Studio Code with Databricks Connect for Python Eclipse with PyDev and Databricks Connect for Python |
| R developer | Azure Databricks for R developers Databricks SDK for R RStudio Desktop with Databricks |
| Scala developer | Azure Databricks for Scala developers Visual Studio Code with Databricks Connect for Scala IntelliJ IDEA with Databricks Connect for Scala |
| Java developer | Databricks SDK for Java |
| Go developer | Databricks SDK for Go Databricks SQL Driver for Go |
| SQL expert | SQL language reference SQL drivers and tools |
| IaC engineer | Databricks CLI Databricks Asset Bundles CI/CD on Databricks Databricks Terraform provider dbutils |