Running jobs, SQL, and pipelines across your stack? Databricks native app is now on Make
Databricks is where highly valuable enterprise data often lives. The problem? That data often stays trapped inside Databricks waiting for someone to manually export it, email it to the right team, and hope it arrives in time.
With Make, you can now connect Databricks to the rest of your stack in a single visual flow, so your team moves from event to action without opening an IT ticket.
Meet the new Databricks app for Make, now available for Enterprise plans.
What’s new with Databricks app in Make
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Run SQL statements: Query Databricks SQL warehouses from a scenario and send results straight to the next step, whether that is a sheet, report, or alert. -
Trigger Databricks jobs: Start jobs from business events and capture the run output for follow-up actions in the same workflow. -
Manage pipelines: Read pipeline details and update Delta Live Table pipeline status without writing custom integration code. -
Upload files to Unity Catalog volumes: Move files from cloud storage, email, or any source directly into governed Databricks storage as part of a repeatable data ops workflow.
Enterprise use cases
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Automated sales forecasting pipeline: When a Salesforce opportunity is updated or a deal closes, trigger a Databricks ML job that re-runs your forecasting model against the latest data. Write the output directly to Google Sheets and post a summary to the revenue team’s Slack channel — without a single line of custom glue code. -
Live pipeline monitoring and alerting: Check your DLT pipeline status on a schedule. If a run fails or stalls, Make automatically opens a Jira ticket, pages the on-call engineer in Slack, and logs the incident to a Google Sheet — giving your team full visibility without anyone watching a dashboard. -
Scheduled SQL reporting to stakeholders: Run a SQL query against your Databricks SQL warehouse on a recurring schedule, format the results, and deliver a clean report via email or Slack to business stakeholders who don’t have Databricks access. Finance, marketing, and ops teams get the numbers they need, automatically.
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Governed file ingestion from any source: When files arrive via email attachment, cloud storage, or a form submission, Make picks them up and uploads them directly to Unity Catalog volumes — keeping your data governance layer intact while eliminating the manual handoff that usually sits between the business and the data platform. -
Customer retention on autopilot: A churn model runs in Databricks and scores customers by risk of leaving. Make queries the results, splits the list per customer, and automatically sends a personalized win-back email or triggers a CRM update — before the customer is gone. What used to take days of manual exporting and emailing now runs in seconds.
Available Databricks app modules in Make
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SQL:
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Execute a SQL statement
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Get a SQL statement result
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Jobs
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Run a job
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Get a job run output
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Pipelines
- Get a pipeline update status
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Files
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Upload a file to a Unity Catalog volume
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Download a file from a Unity Catalog volume
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Make an API call to Databricks
App Availability
The Databricks app is available exclusively on Enterprise plans. You’ll need an active Databricks account with a configured service principal to connect.
If Databricks is part of your stack, what’s your first scenario — SQL results to Sheets, job triggers from Salesforce, or something else entirely?
Happy automating! 
Valery from Make
Helpful resources