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Google Chat + PostgreSQL

Google Chat + PostgreSQL

Google Chat + PostgreSQL integrations

Create Google Chat messages for new PostgreSQL custom query rows

Stay informed about new entries in your PostgreSQL database by receiving notifications in Google Chat. With this workflow, whenever a new row is added to your PostgreSQL database based on a custom query, a message will be created in a Google Chat room, keeping your team up-to-date on the latest additions. Streamline your database updates and improve team communication with this simple automation.

  1. When this happens...
    New Row (Custom Query)
    New Row (Custom Query)
    New Row (Custom Query)Triggers when new rows are returned from a custom query that you provide. Advanced Users Only.
  2. automatically do this!
    Create Message
    Create Message
    Create MessageCreate a message in Hangouts Chat.
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More things you can do with PostgreSQL and Google Chat

Discover other triggers and actions you can use with PostgreSQL and Google Chat

    • Table/View
      Required
    Trigger
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    • Query
      Required
    Trigger
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    • Table/View
      Required
    • Primary_key
      Required
    • Order_by
      Required
    • Trigger_column
    Trigger
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    • Table
      Required
    • ID Column
      Required
    Action
    Write
    • Table/View
      Required
    • Order_by
    • Dedupe_key
    Trigger
    Polling
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  • PostgreSQL triggers, actions, and search
    New Table

    Triggers when you add a new table.

    Trigger
    Polling
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    • Table
      Required
    Action
    Write
    • Table
      Required
    • Lookup Column
      Required
    • Lookup_value
      Required
    Action
    Search
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About Google Chat
Google Chat is a communication software developed by Google built for teams that provides direct messages and team chat rooms, along with a group messaging function that allows Google Drive content sharing.
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About PostgreSQL
PostgreSQL is a powerful, open-source database engine with a uniquely advanced query optimizer and dozens of built in features, making it an easy choice for production databases.
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