Databricks · GraphQL Specification

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.

Documentation Endpoint View on GitHub Artificial IntelligenceAnalyticsApache SparkBig DataCleanroomsCloud ComputingDataData AnalyticsData EngineeringData GovernanceDelta LakeDelta SharingETLIdentity ManagementLakehouseMachine-LearningMLflowModel ServingSecuritySQLUnity CatalogVector SearchVisualizeGraphQL

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 Artificial Intelligence, Analytics, Apache Spark, Big Data, and Cleanrooms.

Endpoint

References

Related API Specs

Databricks Clusters API (OpenAPI) Databricks Jobs API (OpenAPI) Databricks Workspace API (OpenAPI)
Back to Databricks · All GraphQL Specs · GitHub

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