Databricks Granola

Store meeting summaries in central database

When a new AI summary is generated in Granola, automatically insert a row containing key notes and decisions into Databricks.

Try:

See all Databricks + Granola 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.

Granola Explore Granola →

Triggers
New meeting recorded

Fires when a new meeting is recorded in Granola.

New AI summary generated

Fires when an AI-generated summary is ready in Granola.

New transcript ready

Fires when a meeting transcript is ready in Granola.

New action item captured

Fires when a new action item is captured from a meeting in Granola.

Actions
Upload audio or video

Uploads an audio or video file to Granola for transcription.

Log action items to database tables Whenever an action item is captured in Granola, add or update a corresponding task row in Databricks to keep records organized. See details
Upload recorded media from database records When a new row with media links is inserted in Databricks, automatically upload the audio or video file into Granola for transcript generation. See details

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

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FAQ

Common questions

Can Knit build “Store meeting summaries in central database” between Databricks and Granola?

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

How do meeting notes from Granola get added to Databricks?

As soon as a meeting transcript or summary is processed in Granola, an automated workflow inserts key details into your target table in Databricks.

Can database records in Databricks initiate audio processing in Granola?

Yes, when new records containing media file URLs are added to Databricks, you can automatically upload those files into Granola for processing.

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