Azure AI Foundry and Databricks integrations and automations

Seamlessly connect Azure AI Foundry and Databricks. Automate workflows, and boost efficiency with Workato.

Rating

4.9

Pre-built

150+

integrations

Total

100+

active users

avg

2 min

to connect

Custom Connections

Available

via HTTP connector

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Build Powerful Workflows, fast

Triggers

When this happens…

Databricks
  • New rows Batch
    New batch of rows in a table in Databricks
  • New rows via custom SQL Batch
    New batch of rows via custom SQL in Databricks
  • New/updated rows via custom SQL Batch
    New/updated batch of rows via custom SQL in Databricks

    • Any other trigger you can think up

Actions

Do this…

Azure AI Foundry
  • Analyze document
    POST /documentintelligence/documentModels/{modelId}:analyze
  • Create message
    POST /threads/{thread_id}/messages?api-version=v1
  • Create run
    POST /threads/{thread_id}/runs?api-version=v1
  • Create thread
    POST /threads?api-version=v1
  • Get message
    GET /threads/{thread_id}/messages/{message_id}?api-version=v1
  • Get reply
    Create a thread, post a user message, start a run, poll to completion, and return the assistant reply
  • Get threads
    GET /threads?api-version=v1
  • List agents
    GET /assistants?api-version=v1
  • List messages
    GET /threads/{thread_id}/messages?api-version=v1

    • Any other action you can think up

Databricks
  • Delete rows Batch
    Delete rows in a table in Databricks
  • Export query result
    Export query result as a CSV file in Databricks
  • Insert row
    Insert row in a table in Databricks
  • Run custom SQL Batch
    Run custom SQL in Databricks
  • Select rows Batch
    Select rows in a table in Databricks
  • Select rows using custom SQL Batch
    Select rows using custom SQL in Databricks
  • Update rows
    Update rows in a table in Databricks
  • Upload file to Volume
    Upload file to volume in Databricks

    • Any other action you can think up

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