Log chat mentions directly into your database

When a user is mentioned in a message in Gupshup, automatically insert a log entry into Google BigQuery for tracking and reporting.

Try:

See all Google BigQuery + Gupshup integrations or talk to a human

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

Google BigQuery Explore Google BigQuery →

Triggers

New row inserted

Fires when a new row is added to a table in Google BigQuery.

Row updated

Fires when an existing row changes in Google BigQuery.

Query result ready

Fires when a scheduled query in Google BigQuery finishes running.

Actions

Run a query

Runs a SQL query against Google BigQuery and returns the result.

Insert or update a row

Writes a new or updated row to Google BigQuery.

Sync a table

Syncs a table in Google BigQuery with data from another source.

Gupshup Explore Gupshup →

Triggers

New message posted

Fires when a new message is posted to a channel in Gupshup.

New channel created

Fires when a new channel is created in Gupshup.

Mentioned in a message

Fires when your team or a keyword is mentioned in Gupshup.

New file shared

Fires when a new file is shared in Gupshup.

Actions

Send channel message

Posts a message to a channel in Gupshup.

Send direct message

Sends a direct message to a specific person in Gupshup.

Add reaction

Reacts to a message in Gupshup.

Invite user to channel

Adds a user to a channel in Gupshup.

Alert team channels when new database records are added When a new row is inserted in Google BigQuery, automatically post a notification message to a specific channel in Gupshup. See details

Deliver completed query results via direct message When a complex database query finishes running in Google BigQuery, send a direct message in Gupshup with the results to the team member who requested it. See details

See all Google BigQuery + Gupshup integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Log chat mentions directly into your database” between Google BigQuery and Gupshup?

Yes — describe it in the box above and Knit's Integrations Agent researches Google BigQuery and Gupshup's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

Why should I connect Google BigQuery to Gupshup?

Linking Google BigQuery with Gupshup delivers real-time visibility into database changes directly within your team messaging app and automates database logging from key chat events.

Can team interactions in Gupshup update records in Google BigQuery?

Yes, events like new messages, mentions, or shared files in Gupshup can automatically insert or update corresponding rows in Google BigQuery.