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This page contains links to comprehensive reference documentation, including links to reference for Databricks APIs, SQL, CLIs, SDKs, and other resources.
REST API reference
| Reference | Description |
|---|---|
| Databricks REST API | REST API reference for Databricks services. |
| MLflow REST API | REST API reference for MLflow machine learning lifecycle management and model tracking. |
| Jobs v2.0 API | REST API reference for version 2.0 version of the Jobs REST API. Databricks recommends that you use the latest Databricks REST API for new and existing clients and scripts. |
Python reference
| Python reference | Description |
|---|---|
| PySpark API | Reference documentation for PySpark. |
| Feature engineering Python API | Reference for feature engineering and feature store operations. |
| Feature store Python API (Deprecated) | Deprecated. Use the Feature engineering Python API instead. |
| AutoML Python API | Reference for AutoML functionality and automated machine learning workflows. |
| Delta Lake Python API | Python API reference for Delta Lake operations and versioning. |
| Lakeflow Declarative Pipelines Python API | Python API reference specific to Lakeflow Declarative Pipelines development and transformations. |
| Lakehouse Monitoring API | Python API reference for Lakehouse Monitoring. |
| MLflow Python API | Python API reference for MLflow. |
| Vector Search | Reference for the Python API for managing endpoints and indexes in the Vector Search service. |
| Agents Python API | Reference for the Agents Python API for building and deploying AI agents and conversational applications. |
| Databricks AI Python API | Reference for the Databricks AI Bridge, Langchain Integrations, OpenAI Integrations, and MCP Python APIs. |
| Serverless GPU Python API | Python API reference for serverless GPU computing and model inference. |
Scala reference
| Scala reference | Description |
|---|---|
| Scala Spark API | Databricks Spark API reference for Scala. |
| Delta Lake Scala API | Scala API reference for Delta Lake operations and versioning. |
SQL reference
| SQL language reference | Description |
|---|---|
| Databricks SQL | SQL reference for Databricks SQL, including syntax, functions, and operators. |
| Lakeflow Declarative Pipelines SQL | SQL reference specific to Lakeflow Declarative Pipelines development and transformations. |
Developer tools reference
| Reference | Description |
|---|---|
| Databricks CLI commands | Command reference for the Databricks CLI. |
| Databricks Asset Bundles configuration | Reference for Databricks Asset Bundles configuration YAML. |
| Databricks Terraform provider | Reference documentation for the Databricks Terraform provider. |
| Databricks SDK for Python | Reference for the Python SDK for integration with Databricks and automation in Python applications. |
| Databricks SDK for R | Reference for the R SDK for data science workflows and statistical computing with Databricks. |
| Databricks SDK for Java | Reference for the Java SDK for enterprise applications and JVM-based integrations. |
| Databricks SDK for Go | Reference for the Go SDK for high-performance applications and cloud-native integrations. |
Error reference
| Reference | Description |
|---|---|
| SQL error codes | Complete reference for SQL error codes and their meanings in Databricks. |
| Error classes | Error class documentation for categorized error types and resolution guidance. |
Additional resources
| Resource | Description |
|---|---|
| Apache Spark APIs | Reference documentation overview for Apache Spark APIs. |
| Delta Lake APIs | Reference links for Delta Lake operations and versioning (Delta Spark). |
| Python development | Overview of Python development on Databricks. |
| Scala development | Overview of Scala development on Databricks. |
| R documentation | Overview of R-based data processing and analytics on Databricks. |