Use case
Switch platforms without flying blind.
Cross-database moves are downtime-sensitive and detail-sensitive. Wirekite handles the schema translation, the parallel extract and load, and the row-by-row proof that the destination matches the source.
Same data. Different engine. Different rules.
Cross-database moves don't just move bytes. Timestamps land in different precisions. NUMERIC scale changes. JSON encoding differs. NULL handling is dialect-specific. A migration that looks complete by row count can be subtly wrong in every column that crossed a type boundary.
And the downtime budget is brutal. Most teams have a single cutover window, often a weekend, and the move has to land — both bytes and semantics — inside it.
Wirekite handles the type mapping per dialect, runs the move in parallel, and proves the result row-by-row before you flip traffic.
Three switches teams come to us for.
License consolidation
SQL Server → PostgreSQL
Move off SQL Server licensing without losing the data fidelity your application depends on. T-SQL types map cleanly into Postgres equivalents; CDC keeps the SQL Server side current until cutover.
Cloud-native shift
Oracle → Google AlloyDB
The most common cloud-migration ask we see. Archive-log source, Postgres-protocol target, Google AlloyDB's COPY path on load. The same migration that's six months of plumbing becomes a single engagement.
Polyglot split
Postgres → MongoDB
Split out a document workload from a relational primary without a multi-quarter rewrite. Wirekite handles the row → document mapping and keeps the relational side current.
Move, sync, prove.
1
Type-aware extract and load.
Wirekite Data extracts in parallel, applies the per-dialect type mapping, and lands the data through the target's native bulk API. Schemas are mapped, not just streamed.
2
Keep the old side current.
Wirekite Replicate streams every insert, update, and delete from the old engine into the new one until you cut over. The cutover window collapses from "what changed during the move?" to "the diff is zero."
3
Prove every row.
Validate walks both sides sorted by primary key and compares column-by-column with type-aware logic. Most migration tools verify with a row count. We verify the data.
Run your switch through ours first.
Book a 30-minute demo. We'll move a sample of your workload from the source engine into the target engine of your choice, live.