Azure Databricks · Schema

NodeType

AnalyticsApache SparkBig DataData EngineeringMachine-Learning

Properties

Name Type Description
node_type_id string Unique identifier for the node type
memory_mb integer Memory in megabytes
num_cores number Number of CPU cores
description string Human-readable description
instance_type_id string Azure instance type identifier
is_deprecated boolean Whether the node type is deprecated
num_gpus integer Number of GPUs available
category string Category of the node type (General Purpose, Memory Optimized, etc.)
View JSON Schema on GitHub

JSON Schema

microsoft-azure-databricks-nodetype-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "#/components/schemas/NodeType",
  "title": "NodeType",
  "type": "object",
  "properties": {
    "node_type_id": {
      "type": "string",
      "description": "Unique identifier for the node type",
      "example": "500123"
    },
    "memory_mb": {
      "type": "integer",
      "format": "int32",
      "description": "Memory in megabytes",
      "example": 10
    },
    "num_cores": {
      "type": "number",
      "format": "float",
      "description": "Number of CPU cores",
      "example": 42.5
    },
    "description": {
      "type": "string",
      "description": "Human-readable description",
      "example": "A sample description."
    },
    "instance_type_id": {
      "type": "string",
      "description": "Azure instance type identifier",
      "example": "500123"
    },
    "is_deprecated": {
      "type": "boolean",
      "description": "Whether the node type is deprecated",
      "example": true
    },
    "num_gpus": {
      "type": "integer",
      "format": "int32",
      "description": "Number of GPUs available",
      "example": 10
    },
    "category": {
      "type": "string",
      "description": "Category of the node type (General Purpose, Memory Optimized, etc.)",
      "example": "example_value"
    }
  }
}

Work with this as data

Every JSON Schema here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for schemas

4 MCP tools reach this
  • find_json_schemasBrowse and filter every JSON Schema in the catalog.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This JSON Schema
curl "https://apis.io/api/v1/json-schemas/microsoft-azure-databricks-nodetype"
All schemas
curl "https://apis.io/api/v1/json-schemas?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no email required.

A second provider on the same verified email joins the account you already have.