Two products. Two different data questions.
Data Reconciliation compares corresponding datasets. Data Validation checks data against defined requirements.
Data Reconciliation
“Where do these datasets disagree?”
Designed for multi-system integrations, data migrations, and core transaction checking where two distinct sources must be systematically compared.
Data Validation
“Does this data satisfy its rules?”
Designed for pipeline boundaries and intake validation, checking single datasets against explicit rules of presence, ranges, uniqueness, and format.
How the two tools differ
| Dimension | Data Reconciliation | Data Validation |
|---|---|---|
| Core question | Do corresponding records agree? | Does the data satisfy its rules? |
| Typical inputs | Two related datasets and matching rules | A dataset and validation rules |
| Useful findings | Differences and unmatched records | Failed requirements and their locations |
| Typical application | Migrations and cross-system comparisons | Checks before data is consumed or transferred |
This comparison reflects the intended problem split between our software products. We also provide engineering consulting to integrate and operate either tool.
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