Pigeonhole Live and S3 Data Lake integrations and automations

Seamlessly connect Pigeonhole Live 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

Market leaders run on Workato

  • monday.svg
  • box.svg
  • hp-2.svg
  • atlassian.svg
  • cisco.png

Build Powerful Workflows, fast

Triggers

When this happens…

Actions

Do this…

Pigeonhole Live
  • Add a registrant
    Create a registrant in a Pigeonhole.
  • Create a Pigeonhole
    Create a Pigeonhole in Pigenhole Live.
  • Create a session
    Create a session in a Pigeonhole.
  • Delete a registrant
    Delete an existing registrant in a Pigeonhole.
  • Get list of interactions
    List actions performed by the attendees in a Pigeonhole.
  • Get a Pigeonhole
    Fetch a Pigeonhole in Pigenhole Live.
  • Get list of attendees
    List attendees of a Pigeonhole in Pigenhole Live.
  • Get list of Pigeonholes
    List the Pigeonholes in Pigenhole Live.
  • Get list of registrants
    List registrants of a Pigeonhole in Pigenhole Live.
  • Get list of sessions
    List the sessions in a Pigenhole.
  • Update a registrant
    Update an existing registrant in a Pigeonhole.
  • Update a session
    Update a session in a Pigeonhole.

    • 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

One platform

  • Power
  • Agility
  • Speed
  • Innovation