Databricks documentation

Databricks documentation provides how-to guidance and reference information for data analysts, data scientists, and data engineers solving problems in analytics and AI. The Databricks Data Intelligence Platform enables data teams to collaborate on data stored in the lakehouse. See What is a data lakehouse?

tip

Databricks technical documentation is organized by cloud provider. Use the cloud switcher in the upper right-hand corner of the page to choose Databricks documentation for Amazon Web Services, Google Cloud Platform, or Microsoft Azure.

• Microsoft Azure Databricks documentation
• Databricks on Google Cloud Platform documentation

Try Databricks

• Sign up for a free trial
• Set up your first workspace
• Understand your workspace
• Upload, query, and visualize your data
• Build a basic ETL pipeline

What do you want to do?

• Find, access, and work with data
• Data engineering
• Machine learning & AI
• Generative AI quickstart
• Business intelligence
• Data warehousing
• Develop custom solutions

Manage Databricks

• Account & workspace administration
• Security & compliance
• Data governance

Reference

• All API reference
• SQL language reference
• Error handling and error messages
• CLI reference

Resources

• Release notes
• Status page
• Glossary
• Other resources