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. Oracle's types map cleanly into Google AlloyDB, and the move that's usually 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.
Move
Translate and move
Wirekite Data moves the tables in parallel and translates every type into the new engine's equivalent on the way. Schemas are mapped, not just copied across.
Sync
Keep the old side current
Wirekite Replicate streams every change 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.”
Prove
Prove every row
Validate compares the two databases row for row and column for column, type-aware. 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.