Structured migration between database engines, versions or hosting environments — with a cutover plan that fits inside the outage window you can actually get approved.
Common drivers are licence cost, an engine reaching end of support, consolidation after a merger, or moving from physical servers to virtualised or containerised infrastructure. The technical work is usually the manageable part; the risk sits in the cutover, the rollback and the verification that the new system holds the same data as the old one.
Who it’s for
Organisations facing a database platform change they cannot afford to get wrong.
- Institutions reducing proprietary licence cost by moving to an open-source engine
- Teams running a database version approaching or past end of support
- Organisations consolidating systems after a merger or reorganisation
- IT departments moving databases from physical hardware to virtual or containerised platforms
What we deliver
A rehearsed migration with a tested rollback and a documented verification that the data survived.
Assessment
Schema, data-type, stored-procedure and application-dependency analysis, with the incompatibilities identified up front rather than discovered at cutover.
Migration design
Method, sequencing and cutover approach chosen against your acceptable outage window.
Schema and object conversion
Tables, constraints, indexes, views, procedures and jobs converted and reviewed.
Data migration build
Repeatable, automated migration process — not a one-off manual run.
Rehearsal
Full dress rehearsal against production-scale data, timed, so the cutover window is known rather than estimated.
Verification
Row counts, checksums and business-level reconciliation proving the target matches the source.
Rollback plan
A tested path back, because the decision to abort must be available during the window.
Cutover support
Our people present during the cutover and the period immediately after it.
Migration paths we handle
- Microsoft SQL Server → PostgreSQL
- Oracle → PostgreSQL
- MySQL → PostgreSQL
- Legacy MySQL → modern MySQL / MariaDB
- Physical → virtual
- Virtual → containerised
- Version upgrades within an engine
How it connects to the rest of your stack
Nothing we deploy is meant to stand alone. These are the joins we build as part of the same engagement.
- Defect tracking — Discrepancies found after cutover are logged and tracked formally, not handled ad hoc while everyone is tired.
- Project governance — Migrations run as governed projects with a genuine go/no-go gate at the cutover boundary — the single most useful control in this kind of work.
- High availability — Migration is the natural moment to introduce replication, since the target is being built from scratch.