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Connect Google BigQuery to Microsoft Teams

Move data between Google BigQuery and Microsoft Teams the moment it happens. Build the flow visually, or let AI write it for you, then run it on our cloud or your own infrastructure.

Google BigQuery triggers
4
Google BigQuery actions
10
Microsoft Teams triggers
4
Microsoft Teams actions
16

Automation ideas

What you can build with Google BigQuery and Microsoft Teams

A few flows teams run between Google BigQuery and Microsoft Teams. Use one as a starting point, or build your own from scratch.

  • New Row in Google BigQuery creates Create Channel in Microsoft Teams

    Triggers when a new row is added to a BigQuery table. Polls every 5 minutes by comparing the latest value in a sort column against the previous check.

  • New Channel Message in Microsoft Teams creates Run a Query in Google BigQuery

    Triggers when a new message is posted in a channel.

  • New Row in Google BigQuery creates Send Channel Message in Microsoft Teams

    Triggers when a new row is added to a BigQuery table. Polls every 5 minutes by comparing the latest value in a sort column against the previous check.

  • New Channel Message in Microsoft Teams creates Create Row in Google BigQuery

    Triggers when a new message is posted in a channel.

  • New Row in Google BigQuery creates Send Chat Message in Microsoft Teams

    Triggers when a new row is added to a BigQuery table. Polls every 5 minutes by comparing the latest value in a sort column against the previous check.

  • New Channel Message in Microsoft Teams creates Create Rows in Google BigQuery

    Triggers when a new message is posted in a channel.

Questions, answered

No. Pick a trigger on either piece and an action on the other, map the fields, and turn the flow on. Add a code step later only if you want to.

Yes. Build one flow that starts in Google BigQuery and acts in Microsoft Teams, and a second that runs the other way, in the same project.

On our EU cloud in Frankfurt, or self-hosted on your own infrastructure with Docker or Kubernetes. The MIT-licensed core means there is always an exit.