Turn hours into minutes.
DataForge moves any dataset, any size, from any source to any target — verified on arrival, zero failures, zero staging.
3,032,564,040 rows. One machine. Zero failures. Peer-reviewable. DOI: 10.5281/zenodo.19503175
Two ways to move data.
One pass. Four terminal states. No ambiguity. No silent discard.
Not a claim. A documented fact.
Published, peer-reviewable evidence: DataForge ingested 3,032,564,040 rows on a single machine with zero failures — and we published the methodology, dataset, and raw results so you can verify it yourself.
One engine. Every data form.
The four-stage movement core — parse, filter, accumulate, write — with no shared state and no reverse path.
Single-streaming-protocol movement from first byte to last commit — COPY FROM STDIN, TDS bulk, no round trips.
Adaptive concurrency scaling — the reason the cloud floor moved from ~900K to over one million rows per second.
Byte-lossless movement of whole objects — files, documents, archives, any blob — with per-object outcomes and a closed Δ0 manifest.
Independent destination verification and the closed per-item outcome ledger — every unit reconciled to a terminal state.
Signed deployment control and proactive operational assurance across the fleet.
Three decades from the shop floor to Principal Engineer and Federated Architect for Fortune 100 institutions. U.S. Navy veteran, MSITM, credited researcher in the U.S. National Vulnerability Database (CVE-2025-3462/3463), and USPTO inventor of record. Read the full trajectory →
"DataForge does not break systems. It teaches them where they break — and stops just short of it."
What would you do with the hours back?
Bring your hardest dataset. Keep your infrastructure. Measure the difference.