Databricks GraphQL Schema
Databricks does not currently offer a native GraphQL API. Its public surface area is entirely REST-based, documented at [https://docs.databricks.com/api/workspace/introduction](https://docs.databricks.com/api/workspace/introduction). The schema below is a **conceptual GraphQL representation** of the Databricks platform derived from its REST API, Unity Catalog data model, MLflow, Delta Live Tables, and related surface areas. It is intended to illustrate how Databricks resources could be expressed as a strongly-typed GraphQL schema for tooling, federation, or gateway integration purposes.
Overview
Databricks GraphQL Schema is a GraphQL API specification published by Databricks on the APIs.io network.
Databricks does not currently offer a native GraphQL API. Its public surface area is entirely REST-based, documented at https://docs.databricks.com/api/workspace/introduction. The schema below is a conceptual GraphQL representation of the Databricks platform derived from its REST API, Unity Catalog data model, MLflow, Delta Live Tables, and related surface areas. It is intended to illustrate how Databricks resources could be expressed as a strongly-typed GraphQL schema for tooling, federation, or gateway integration purposes.
The specification includes 4 reference links.
Tagged areas include AI, Analytics, Apache Spark, Big Data, and Clean Rooms.
Endpoint
References
- REST API Reference https://docs.databricks.com/api/workspace/introduction
- GitHub Organization https://github.com/databricks
- Unity Catalog https://docs.databricks.com/api/workspace/catalogs
- MLflow https://docs.databricks.com/aws/en/reference/mlflow-api