From undocumented estate to one validated map
Operational parks built over decades (mainframe DB2, Oracle, siloed bases) hold meaning nobody wrote down, and the people who built them are gone. Datapace resolves the estate at the source into one map that carries both the business meaning (entities, relationships, lineage, with a confidence score on every proposal) and the technical reality (usage and freshness, quality checks, cost signals). Your experts validate the meaning. Documentation falls out of that map instead of being the goal: a data dictionary that stays current, a context graph your teams, your BI, and your AI query over MCP, and evidence you can carry into a migration or a cost decision.
How resolution runs
From opaque estate to validated context.
Resolution engineResolve what is there
Schemas, derived values, and implicit relationships are resolved into proposed meaning, with the evidence behind each proposal.
Your experts decide
Every proposal carries a confidence score and is accepted or rejected by a human, so validated stays distinct from inferred, everywhere.
The technical reality, on the same map
Usage and freshness, profiling and quality checks, end-to-end lineage: the operational facts sit next to the meaning, so dead weight and risk are visible instead of anecdotal.
Documentation that stays current
A data dictionary and context graph generated from the validated map, not maintained table by table, so it never drifts from what the base actually is.
One map, many uses
The same validated map documents the estate for your teams, answers your BI, feeds AI agents over MCP, grounds ERP migration mapping, and backs cost decisions.
Related reading
Related use cases
See this on your own data, safely
Bring a use case. We will show you what Datapace resolves on your live database and how the policy gate governs what AI may do.