Use cases
What teams run on Datapace
The same safe foundation, policy, approval, and audit, keeps production healthy and turns its data into value. Here is what that looks like in practice.
Safe AI database access
Let AI agents and coding assistants work with your production databases without the blast radius. Every action is policy-checked, human-approved, and audited.
See the use caseOperationsAutonomous database operations
Agents watch your databases around the clock, catch anomalies before they become incidents, and resolve routine issues inside your guardrails.
See the use caseOperationsSafe schema migrations
Plan, validate, and execute schema migrations across engines and clouds. Every step is policy-checked, reversible, and rehearsed on a clone before it touches production.
See the use caseData valorisationTurn governed data into value
Once production data is governed, agents can safely run adaptive models on it to cut costs and unlock value, on the same safe foundation.
See the use case