Log audience engagement into your database
When a new mention or comment occurs in Discourse, automatically insert a row into Google BigQuery to keep central logs of brand interactions.
See all Google BigQuery + Discourse 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 →
TriggersFires when a new row is added to a table in Google BigQuery.
Fires when an existing row changes in Google BigQuery.
Fires when a scheduled query in Google BigQuery finishes running.
Runs a SQL query against Google BigQuery and returns the result.
Writes a new or updated row to Google BigQuery.
Syncs a table in Google BigQuery with data from another source.
Discourse Explore Discourse →
TriggersFires when a scheduled post goes live in Discourse.
Fires when a post fails to publish in Discourse.
Fires when your brand is mentioned or a post gets a comment in Discourse.
Creates a post in Discourse or adds it to the schedule.
Adds a post to the publishing queue in Discourse.
Posts a reply to a comment in Discourse.
More Google BigQuery + Discourse workflows
Queue social posts from database record updates
When a new row is added to your content queue in Google BigQuery, automatically add the post to your publishing schedule in Discourse.
See details
Track publishing failures in analytical tables
When a post fails to publish in Discourse, automatically log the error details and message as a new entry in Google BigQuery for operational tracking.
See details
See all Google BigQuery + Discourse integrations → · Browse the full workflow library →
Common questions
Can Knit build “Log audience engagement into your database” between Google BigQuery and Discourse?
Yes — describe it in the box above and Knit's Integrations Agent researches Google BigQuery and Discourse'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.
Can I archive social media comments in my data warehouse?
Yes, engagement activity like new posts or comments in Discourse can instantly create or update records in Google BigQuery for unified long-term reporting.
How can database changes trigger social posts?
When new rows are added or existing records update in Google BigQuery, automated rules can schedule or publish content across your channels in Discourse.