Financial & cross-system reconciliation
Prove that ledgers, sub-ledgers, and downstream systems agree — with evidence an auditor will accept.
Spreadsheet reconciliation doesn't scale — and it doesn't defend
Finance and operations teams have to prove that ledgers, sub-ledgers, and the systems downstream of them agree. Done by hand, in spreadsheets, that work is slow, error-prone, and hard to defend when someone asks how you know the numbers are right.
When the answer has to hold up to a regulator or an internal auditor, "we spot-checked a sample" isn't good enough. You need exact, reproducible evidence that two systems match.
Automated, deterministic, auditable
Value-level comparison across your systems, on a schedule, with the exact breaks called out.
Scheduled value-level comparison
Compare actual values across systems automatically — no manual export-and-diff.
Exact break identification
See precisely which records and columns differ, not just that a total is off.
Drill-down discrepancy reports
Trace every break down to the individual row and cell that caused it.
Signed-webhook & email alerts
Get notified the moment a reconciliation fails — with HMAC-signed webhooks your systems can verify.
Full audit trail
Every run is recorded, so you can show exactly what was compared and when.
Suitable for regulated reporting
Deterministic evidence you can hand to an auditor — reproducible on demand.
Enterprise-grade by default
The hard parts of trustworthy reconciliation are built in — not bolted on later.
Envelope encryption + BYOK
Every credential and dataset is envelope-encrypted with a key unique to you. Bring your own key when policy demands it.
Tenant isolation
Each tenant runs in its own isolated space — separate storage, messaging and database scope. No shared buckets, no shared keys.
HMAC-signed webhooks
Outbound webhooks are signed so your systems can verify every payload really came from DataRecs before acting on it.
Multi-cloud
The same stack runs on any Kubernetes cluster — Hetzner, Civo, your own datacentre — with no cloud-provider lock-in.
- PostgreSQL
- MySQL
- Oracle
- SQL Server
- DB2
Prove your ledgers agree
Point DataRecs at your source and downstream systems and get exact, auditable evidence they match — on your own data.