DecisionBox for Databricks
Connect DecisionBox to your Databricks to validate findings Discussion | ...

Our Take
DecisionBox is autonomous AI discovery for your data warehouse. It connects to Databricks (and Snowflake, BigQuery, Redshift) and runs AI agents that write their own SQL, validate every finding against your actual warehouse, and ship severity-ranked recommendations—no prompting required. Every single claim gets re-queried before it ships. Zero hallucinations, 100% verified.
Most "AI analytics" tools dump a chart and call it a day. DecisionBox does the opposite—it treats your data warehouse as a live environment, runs independent verification queries, and won't ship a finding unless it can confirm it against your actual tables. Each run is fully transparent: you see every query, every reasoning step, every decision the agent made. That's the kind of paranoia you want in your data stack.
They've got domain packs for Gaming, Social, and Ecommerce out of the box, but you can plug in your own. The agent also adapts to who's reading—marketing sees channel attribution and cohort performance,Sales sees deal health and expansion signals,Product sees where activation actually breaks. Same engine, different questions tailored to each team's actual priorities.
Open source, self-hosted, AGPL v3. Enterprise gets SSO, governance, and audit logs. Cloud version is waitlist-only. They're betting big on the idea that AI analysis should validate against your real data, not just generate confident-sounding garbage. Bold strategy—let's see if the market agrees.
Key Facts
The people behind DecisionBox for Databricks
Links
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