Moving schemas and rows is only part of a database migration. Applications depend on data types, transaction behavior, identity rules, stored logic, jobs, reports, integrations, drivers, security, and operational procedures. A technically complete copy can still fail the business at cutover.
The risk increases when ownership is split across product, infrastructure, data, vendors, and a prime IT service firm. Each team may complete its own checklist while no one owns the end-to-end acceptance case. That gap appears late, when rollback time is limited and business deadlines are fixed.
Datrick leads one migration control model. The plan connects source evidence, target design, conversion decisions, application validation, data reconciliation, cutover authority, rollback triggers, and stabilization ownership.
