Databricks Microsoft Teams

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.

Try:

See all Databricks + Microsoft Teams integrations or talk to a human

Trusted by teams already building on Knit·4.9 out of 5 stars4.9/5 on G2·GoogleGoogle for Startups Accelerator
prismforceHackerearthIsotopes AIInfojobsPayoneerOutsolveSkuadPayworksItiliteOnsurityRazorpayXMultiplierPeoplestrongScrutCeipal

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.

Microsoft Teams Explore Microsoft Teams →

Triggers
New message posted to a channel

Fires when a new message is posted to a channel in Microsoft Teams.

Mentioned in a message

Fires when your team or a keyword is mentioned in Microsoft Teams.

New channel created

Fires when a new channel is created in Microsoft Teams.

New file shared

Fires when a new file is shared in Microsoft Teams.

Actions
Send a channel message

Posts a message to a channel in Microsoft Teams.

Send a direct message

Sends a direct message to a person in Microsoft Teams.

Create a channel

Creates a new channel in Microsoft Teams.

Invite a user to a channel

Adds a user to a channel in Microsoft Teams.

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
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 details

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

Enterprise-grade security

SOC 2 certified GDPR compliant ISO 27001 certified
Visit our Security Center Review the DPA
FAQ

Common questions

Can Knit build “Broadcast new database records to dedicated 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.

Put Integrations on Autopilot. Talk to Experts.

Knit is loved by customers across the globe due to our seamless product and white glove support. You'll love us too!

Talk to a Human