Use cases
What teams run on Datapace
One validated map of what your databases mean, a policy gate over what AI may do with it. Here is what teams run on that foundation in practice.
Document and resolve the estate
Resolve an undocumented database estate into one validated map: business meaning, relationships, lineage, plus usage, quality, and cost signals, served to your teams and your AI.
See the use caseThe foundationSafe AI database access
Let AI agents and coding assistants work on production databases without the blast radius. Every action is policy-checked, approved, and audited.
See the use caseOperationsAutonomous database operations
Built so agents can watch your databases, catch anomalies early, and resolve routine issues inside your guardrails, with a human in the loop by policy.
See the use caseOperationsSafe schema migrations
Plan, validate, and execute schema migrations across engines and clouds. Every step is policy-checked, designed to be reversible, and rehearsed before production.
See the use caseMigrationERP data migration and mapping
Map legacy data into a new ERP faster. Datapace resolves what the source system means, proposes mappings, and keeps domain experts in the loop.
See the use caseData valorisationTurn governed data into value
Turn governed, validated context into value: trusted KPIs, cost and usage signals, and adaptive models on data you already have.
See the use caseCostDatabase cost optimization
See what your databases actually use and what they cost: usage and freshness evidence, dead weight surfaced with its footprint, and cleanup decisions grounded in the validated map.
See the use caseNot sure which one fits?
Bring your situation to a call. We will show you what Datapace resolves on your live database and how the policy gate governs what AI may do.