Wirekite Data
One-shot bulk migration. Terabytes in minutes.
Wirekite Data is the fastest way to move a database from one engine to another. Built for cloud migration projects where the whole team is on a deadline.
The initial-load problem.
The first move is always the hardest move. A 10 TB database doesn't
leave a single-threaded SELECT *
at any reasonable speed. The receiving warehouse can ingest 100× faster
than your source can produce — but only if you can feed it.
Off-the-shelf migration tools row-by-row their way through the source, marshal each row into a verbose intermediate format, and INSERT into the target one batch at a time. The pipeline is sequential and slow at every hop.
Wirekite Data is engineered to saturate every hop, uses the database's native bulk APIs at both ends, and decouples source from target with a streaming file format so neither side waits on the other.
How Wirekite Data works.
1
Engine-tuned extract
Wirekite reads each table through the fastest path the source engine exposes, sized to pull at the engine's outbound limit.
2
Stream to object store
Extracted data is written to a binary file format optimized for the loader, staged on S3 / GCS / local disk. Source and target never block each other.
3
Native bulk load
The loader uses the target's fastest path — Snowflake COPY, Postgres COPY, Google BigQuery load jobs, Databricks COPY INTO — sized to saturate the target's ingest path.
Watch the migration as it runs.
Live per-table throughput. Progress bars per object. No guessing.
What the numbers look like.
Same hardware, real workloads, published methodology.
And after the load
Validate every row, source vs target.
Wirekite walks both sides sorted by primary key and compares column-by-column with type-aware logic. Not row counts. Not checksums. Every row.
See how validation works
Have a migration coming up?
We'll show you a 1 billion-row migration in real time.