Run data warehouse queries directly from chat channels

When a team member posts a request in a designated channel in Slack, automatically execute a predefined query in Databricks and log the updated row.

Try:

See all Databricks + Slack 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 →

Triggers

New row inserted

Fires when a new row is added to a table in Databricks.

Row updated

Fires when an existing row changes in Databricks.

Query result ready

Fires when a scheduled query in Databricks finishes running.

Actions

Run a query

Runs a SQL query against Databricks and returns the result.

Insert or update a row

Writes a new or updated row to Databricks.

Sync a table

Syncs a table in Databricks with data from another source.

Slack Explore Slack →

Triggers

New message posted to a channel

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

Mentioned in a message

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

New channel created

Fires when a new channel is created in Slack.

New file shared

Fires when a new file is shared in Slack.

Actions

Send a channel message

Posts a message to a channel in Slack.

Send a direct message

Sends a direct message to a person in Slack.

Create a channel

Creates a new channel in Slack.

Invite a user to a channel

Adds a user to a channel in Slack.

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 Slack. 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 Slack. See details

See all Databricks + Slack integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Run data warehouse queries directly from chat channels” between Databricks and Slack?

Yes — describe it in the box above and Knit's Integrations Agent researches Databricks and Slack'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 Slack.

Can team chat messages update records in my data warehouse?

Yes, posting specific requests or messages in Slack can invoke automated queries that insert or update rows in Databricks.