Databricks is a unified analytics platform that supports multiple languages, including:

• Python: Widely used for data analysis, machine learning, and general-purpose programming.
• SQL: The standard language for querying and managing data in relational databases.
• Scala is a powerful language for building scalable data pipelines and applications.
• R: A popular language for statistical analysis and data visualization.
• Java: A versatile language used for various purposes, including building custom applications and integrations.

In addition to these core languages, Databricks supports popular data science frameworks and libraries, such as TensorFlow, PyTorch, and scikit-learn.

Choosing the correct language for your use case:

• Python is a great choice for beginners and experienced users due to its readability and large community.
• SQL: Ideal for working with structured data and performing ad-hoc queries.
• Scala: Suitable for building high-performance data pipelines and applications.
• R: Excellent for statistical analysis and creating visualizations.
• Java: Offers flexibility and customization options for advanced users.

Ultimately, the best language for you will depend on your specific needs and skillset.