Verified data. Trusted outcomes.
Prove your target data is complete and correct.
CDC-Aware Reconciliation Platform
Paridity proves that replicated, copied or landed data matches its source, inside a deterministically aligned comparison window, with proof first, field-level diffs only where they are needed, and evidence an auditor can verify. The whole platform runs in your own cloud.
- Proof before diff
- CDC-aware windows
- Append-only evidence
- Your cloud, nothing leaves
Or request a 30-day trial: every feature, 20 mappings, in your own cloud, no payment.
- Align the window. CDC state, watermark, batch, snapshot, partition or load cycle: the comparison is pinned to what has actually landed.
- Prove the dataset. Deterministic fingerprints of source and target, computed where the data lives.
- Pass: keep the evidence. A clean run ends here, with its proof recorded.
- Fail: isolate the rows. Mismatched keys first, then only the fields that differ.
- Record everything. Config snapshot, phase timings, result, terminal status, exportable evidence.
Successful data movement does not prove target-data correctness.
Your sync, load, CDC pipeline, file transfer, reverse ETL flow or warehouse publish can finish successfully while the target dataset is incomplete, late, duplicated, filtered incorrectly, or compared against the wrong window. Manual SQL checks catch some of it, but they are hard to scale and easy to run inconsistently.
Paridity gives data producers and consumers a repeatable way to prove that the target copy matches its source, and to explain the discrepancy when it does not.
Window-aware comparison
No false positives from comparing the wrong load, snapshot, partition or replication window. Readiness reads the CDC tool's own state before a run starts.
Deterministic proof
Hash totals, counts and row hashes establish whether source and target match, computed in each engine's SQL and byte-verified across engines.
Targeted investigation
From a whole-dataset failure to the specific mismatched rows and fields, without pulling the dataset out of either system.
Evidence-backed trust
The who, what, when, config, result and terminal status of every run, append-only, exportable, ready for an auditor.
A control plane
Mappings, schedules, role-based access, masking, secrets as pointers, evidence and exports, across teams and systems.
Built for critical copied data.
Data consumers
Confidence in the target datasets behind the numbers they defend.
Data platform teams
Operating cross-system data movement: SAP to the warehouse, operational systems to the lakehouse, files to tables.
Analytics and BI teams
Defending metrics and dashboards against a copy that quietly drifted from its source.
AI agent and MCP teams
Exposing target systems to automation that can only be as correct as the data it reads.
Governance teams
Standardizing correctness evidence across domains instead of per-team SQL.
Compliance teams
Proving a control ran, when, on what configuration, with what result, where regulation applies.
Focused where generic data trust tools stop.
| Existing tool | Useful for | Paridity adds |
|---|---|---|
| CDC and replication | Moving data | Independent source-to-target proof, by a party other than the one that moved the data |
| Data observability | Detecting health changes | Deterministic reconciliation evidence |
| Data quality | Testing rules | Source-to-target equality proof |
| AI governance | Managing model and agent behavior | Proof that the target data feeding agents matches its source |
| Manual SQL | One-off checks | Scalable, scheduled, evidence-backed workflows |
Independent of the mover. Nothing leaves your cloud.
A validator bundled with the replication tool is the mover checking its own work. Paridity is not owned by a replication vendor: the proof is produced by a party other than the one that moved the data, the segregation an auditor looks for. And the entire platform, workers, connectors, metadata and evidence included, runs inside your own cloud account.
- Credentials are never stored: connections point at your own secrets manager.
- The one outbound path is the licence service, which never sees a credential, an object name or an evidence value.
- Evidence is append-only; AI assistance is bring-your-own-key and never decides correctness.
- Images and charts are signed; you can verify them yourself before installing.
Stop assuming the target copy is right.
Bring a live source and target. We will prove it, or show you exactly what differs.