Data migration and integration projects shouldn't fail because of unnoticed data issues. Val Specialism helps teams compare source and reference datasets and identify: Mismatched records Missing records Reference-only records Field-level validation issues Data inconsistencies Configure your matching keys and fields, run validation, review the findings, and generate structured reports. Built for teams working on data migration, integration, reconciliation, and quality validation.
Hi Product Hunt!
I'm the maker of Val Specialism.
I built Val Specialism to make data validation and reconciliation easier for teams working on migration and integration projects.
The idea is simple: upload your source and reference data, configure what should be matched and validated, run the validation, and clearly see what doesn't match.
I'd love to hear how you currently handle data validation during migrations and integrations.
Thanks for checking out Val Specialism!
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I paste schema mismatches directly to Claude now and get rules in seconds. Plus to beat this you need determinstic SQL checks at scale, not just semantic diffing. What underlying engine runs when dataset too big for prompt.
I paste schema mismatches directly to Claude now and get rules in seconds. Plus to beat this you need determinstic SQL checks at scale, not just semantic diffing. What underlying engine runs when dataset too big for prompt.