Run data warehouse queries directly from chat channels
When a team member posts a request in a designated channel in Microsoft Teams, automatically execute a predefined query in Databricks and log the updated row.
See all Databricks + Microsoft Teams 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.
Databricks Explore Databricks →
TriggersFires when a new row is added to a table in Databricks.
Fires when an existing row changes in Databricks.
Fires when a scheduled query in Databricks finishes running.
Runs a SQL query against Databricks and returns the result.
Writes a new or updated row to Databricks.
Syncs a table in Databricks with data from another source.
Microsoft Teams Explore Microsoft Teams →
TriggersFires when a new message is posted to a channel in Microsoft Teams.
Fires when your team or a keyword is mentioned in Microsoft Teams.
Fires when a new channel is created in Microsoft Teams.
Fires when a new file is shared in Microsoft Teams.
Posts a message to a channel in Microsoft Teams.
Sends a direct message to a person in Microsoft Teams.
Creates a new channel in Microsoft Teams.
Adds a user to a channel in Microsoft Teams.
More Databricks + Microsoft Teams workflows
Broadcast new database records to dedicated channels
When a new row is inserted into a key table in Databricks, automatically send a formatted summary message to your team channel in Microsoft Teams.
See details
Share completed query results with your team
When a scheduled data analysis finishes running in Databricks, post the summary output into a specified chat channel in Microsoft Teams.
See details
See all Databricks + Microsoft Teams integrations → · Browse the full workflow library →
Common questions
Can Knit build “Run data warehouse queries directly from chat channels” between Databricks and Microsoft Teams?
Yes — describe it in the box above and Knit's Integrations Agent researches Databricks and Microsoft Teams'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 post database query results straight into chat?
Yes, when scheduled queries finish or new rows are inserted in Databricks, key insights are posted directly to channels in Microsoft Teams.
Can team chat messages update records in my data warehouse?
Yes, posting specific requests or messages in Microsoft Teams can invoke automated queries that insert or update rows in Databricks.