Skip to main content
Last updated on

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 Databricks?

tip

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

Try Databricks​

Explore Databricks​

    • Data guides
    • Discover and connect to data sources, manage data assets, and perform exploratory data analysis.
    • Data sharing
    • Share data and AI assets securely with users outside of your organization or on different metastores within your account.
    • Data engineering
    • Build and manage ETL pipelines, process large data sets, and orchestrate data workflows.
    • AI and machine learning
    • Develop, train, and deploy machine learning models and generative AI applications using MLflow and Databricks tools.
    • Databricks AI/BI
    • Create dashboards, reports, and visualizations for business insights and BI analytics.
    • Data warehousing
    • Query and analyze data using SQL, manage schemas, and optimize data warehouse performance.
    • OLTP databases (Lakebase)
    • Create and manage fully-managed, PostgreSQL-compatible databases with Lakebase, integrated with your Lakehouse.
    • Develop on Databricks
    • Build applications, integrate APIs, and extend Databricks functionality with custom code.

Manage Databricks​

    • Administration
    • Configure account settings and manage workspaces, users, and administrative policies across your Databricks environment.
    • Security and compliance
    • Implement security controls, configure access policies, and ensure compliance with industry standards.
    • Status page
    • Information about the Databricks Status Page to monitor system status, service availability, and maintenance schedules across all regions.
    • Release notes
    • Stay updated with the latest Databricks product updates, new features, and platform improvements.
    • Databricks glossary
    • Find definitions for technical terms, concepts, and terminology used throughout Databricks.
    • Reference
    • Overview of API reference documentation, including reference for the Databricks REST API, SDKs, Python APIs, and Databricks SQL.
    • Other resources
    • Limits and quotas, regions, support, product feedback, free training, migration guides, and more.