Databricks
Databricks lakehouse REST API — manage clusters, jobs, SQL warehouses, run SQL statements, and govern data with Unity Catalog.
Three ways to use Databricks
Chat with Geni
Ask Geni to pull data, take actions, or answer questions using this integration in a conversation.
Build a workflow
Create automated workflows that trigger on events, run on a schedule, or chain multiple tools together.
Power an app
Use this integration as a data source or action layer behind a dashboard, form, or internal tool.
Supported tools
Actions your AI agents can perform with Databricks.
Add DBFS Upload Block
Append a base64 block to an open DBFS upload stream.
Cancel All Job Runs
Cancel all active runs of a job.
Cancel Job Run
Cancel a run in progress.
Cancel SQL Statement
Cancel a running SQL statement.
Close DBFS Upload Stream
Close an open DBFS upload stream, finalizing the file.
Create Catalog
Create a new catalog in the metastore.
Get started automating Databricks
Ready-to-use workflows
Prompts using Databricks
Auto-refresh a Google Sheet from Databricks every night
Every night we run your saved Databricks query and refresh a Google Sheet with the results, so your team reads the latest numbers without a login.
Daily Databricks data health check with Slack alerts
Every weekday morning we check your most important Databricks tables for freshness and data problems, and ping Slack only when something actually looks wrong.
Weekly Databricks cost digest to catch spend spikes
Every Monday, get a plain-language recap of last week's Databricks spend in Slack, with the top cost drivers and any spending spikes flagged for you.
Weekly executive KPI brief from your Databricks lakehouse
Every Monday, turn your lakehouse numbers into a plain-English brief and email it to leadership so they get the KPIs without opening a dashboard.
