Database Migration Service
Database migrations fail in quiet ways.
Character set mismatches truncate data. Mishandled NULL constraints silently drop rows. A foreign key that wasn’t enforced in the source environment causes cascading failures in the destination. By the time a production system reveals that 3% of records didn’t migrate correctly, the original write window is long closed.
We handle data migrations with verification built into the process – not as an afterthought. Before any data moves, we document what should be there. After the migration, we verify it is.
Planning a database migration?
[mmedia_services_wizard id=”database-migration”]
Document current schema, row counts, constraints, and any known data integrity issues.
Define the window, approach (staged or cutover), rollback procedure, and verification checkpoints.
Move data, verify row counts by table, spot-check integrity, validate foreign key constraints.
Application-level testing post-migration. Nothing is signed off until it works end-to-end.
Staged Migration vs. Cutover
For migrations where downtime is acceptable, we use a straightforward dump-and-restore with a defined cutover window. For applications that can’t tolerate a maintenance window, we discuss incremental migration strategies – initial load, differential sync, and a brief final cutover – depending on what the application architecture allows.
Every table verified by count – not just “migration completed successfully.”
Deterministic sample of records verified for correctness in the destination.
Indexes confirmed present and valid in the destination environment post-migration.
Constraint verification where applicable – no silent relational integrity failures.
If anything doesn’t match, we find out why before signing off.
Tested restore path confirmed before any data moves. Not just a copy – a verified backup.