Data synchronization moves changes between databases, applications, warehouses, and services so each system has an appropriate current view. It must account for different update schedules, formats, ownership rules, and partial failures.
Reliable synchronization uses stable identifiers, version or timestamp evidence, idempotent operations, conflict handling, and retry controls. It does not treat one missing or delayed observation as proof that durable data should be removed.
