Off the legacy core. Into a real database. On the record the whole way.
The FlatFile Exit Kit is the complete path out of legacy flat-file data, combining two proven tools and the operators behind them. DataShift transforms legacy core extracts into clean, examiner-ready output with a tamper-evident audit chain; SchemaShift reverse-engineers those files into a fully relational PostgreSQL database with keys proven before they're enforced. One kit, one signing key, one audit discipline — from the last export off the old system to the first query on the new one.
DataShift takes legacy core CSVs to examiner-ready output — air-gapped, deterministic, every row on a hash-chained audit record.
SchemaShift infers tables, keys, and relationships from the data itself and lands it in PostgreSQL — with an editable plan before a line of DDL is written.
Foreign keys are auto-detected and verified with a zero-orphan check before enforcement. Your new database's integrity is demonstrated, not declared.
Malformed rows quarantine verbatim with reconciliation counts that must balance — rows in equals rows staged plus rows quarantined, end to end.
Every step emits scripts you can review, re-run, and hand an examiner. Rehearse the migration as many times as it takes; the final run matches the rehearsal.
Both tools share a GPG signing key, a release process, and an audit philosophy — and the people who built them are the people on the call.
The risk in leaving a legacy core isn't the new system — it's the data in transit. The kit puts every row on the record from extract to landing.
Deterministic tools mean the cutover run is identical to the rehearsal runs. The most dangerous day of the project becomes the most predictable.
No seams between an extract vendor, a conversion shop, and a database consultant — one kit covers the road.
Leaving a legacy core or sunsetting an old system without shipping data to anyone's cloud.
Consolidating cores and archives where every row has to be accounted for on both sides.
Decades of flat-file exports, finally landed somewhere queryable — with provenance.
Request a demo and watch a legacy extract become a relational database — reconciled, key-enforced, and on the record.
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