Campaign Monitor and Databricks integrations and automations

Seamlessly connect Campaign Monitor 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…

Campaign Monitor
  • New subscriber
    New subscriber in Campaign Monitor

    • Any other trigger you can think up

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…

Campaign Monitor
  • Add subscriber
    Add subscriber in Campaign Monitor
  • Custom action
    Custom action in Campaign Monitor
  • Delete subscriber
    Delete subscriber in Campaign Monitor
  • Get campaign recipients
    Get campaign recipients in Campaign Monitor
  • Get campaign summary
    Get campaign summary in Campaign Monitor
  • Get client details
    Get client details in Campaign Monitor
  • Get email client usage
    Get email client usage in Campaign Monitor
  • Get sent campaigns
    Get sent campaigns in Campaign Monitor
  • Get subscriber details
    Get subscriber details in Campaign Monitor
  • Unsubscribe subscriber
    Unsubscribe subscriber in Campaign Monitor
  • Update subscriber
    Update subscriber in Campaign Monitor

    • 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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