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Google Drive + PostgreSQL

Google Drive + PostgreSQL

Google Drive + PostgreSQL integrations

Create files from text in Google Drive for new rows via custom query in PostgreSQL

Stay organized and streamline your workflow with this integration. Whenever a new row is added in your PostgreSQL database, a text file containing the row's data will be instantly generated and stored in Google Drive. This automatic process not only saves you precious time but also eliminates the manual task of saving database information. Experience a seamless and efficient way to manage your PostgreSQL records with Google Drive.

  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 File From Text
    Create File From Text
    Create File From TextCreate a new file from plain text.
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More things you can do with PostgreSQL and Google Drive

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

    • Table/View
      Required
    Trigger
    Polling
    Try It
    • Query
      Required
    Trigger
    Polling
    Try It
    • Table/View
      Required
    • Primary_key
      Required
    • Order_by
      Required
    • Trigger_column
    Trigger
    Polling
    Try It
    • Table
      Required
    • ID Column
      Required
    Action
    Write
    • Table/View
      Required
    • Order_by
    • Dedupe_key
    Trigger
    Polling
    Try It
    • Table
      Required
    Action
    Write
    • Table
      Required
    • Lookup Column
      Required
    • Lookup_value
      Required
    Action
    Search
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About Google Drive
Google Drive is Google's file sync app that lets you store all of your files online alongside your Google Docs documents, and keep them synced with all of your devices.
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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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