Databricks and S3 Data Lake integrations and automations

Seamlessly connect Databricks and S3 Data Lake. 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…

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

S3 Data Lake
  • Create table
    Create an Iceberg table through AWS Glue data catalog in S3 Data Lake
  • Custom action
    Custom action in S3 Data Lake
  • Get table definitions
    Get table definitions by table name in S3 Data Lake
  • Import data
    Import data into an Iceberg table in S3 Data Lake
  • List tables
    Lists all tables from a database in S3 Data Lake
  • Query data
    Query data from a table in S3 Data Lake

    • Any other action you can think up

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