Guide
Schema drift detection: catch column changes before they break
Schema drift detection catches new, missing, renamed or retyped columns between two loads — before a silent structure change breaks a downstream job or report. Compare today's feed against the expected shape and every drift is flagged.
How it works
What you get
- Column-level drift — new, missing, renamed or retyped columns flagged.
- Type changes — catch a field that silently changed type between loads.
- Baseline tracking — compare against the last known-good structure.
- Scheduled — check structure on every load and alert on drift.
- Pairs with ETL testing — structure drift and value drift in one platform.
- Auditable — every structure check logged and exportable.
Schema drift vs. finding out when the job fails
Most teams discover schema drift only when a pipeline crashes or a report comes out wrong. Schema drift detection compares the structure on every load and flags added, dropped, renamed and retyped columns up front — so you fix the contract before anything breaks.
This is one of 20+ checks in AI data validation — the same engine also runs reconciliation, data quality, profiling, document compare and governance. For sensitive data, the full dataset never leaves your server; see the security page.
FAQ
What is schema drift detection?
Schema drift detection compares a dataset's structure against an expected baseline and flags columns that were added, removed, renamed or changed type. AI DataValidator checks this on every load so a silent structure change doesn't break a downstream job.
Can it catch a column that changed type?
Yes — retyped columns (e.g. a number that became text) are flagged along with added, missing and renamed columns.
Can it run on every data load?
Yes. Schedule the check so each incoming load's structure is validated automatically and you're alerted on drift.
How is this different from value validation?
Schema drift is about structure (columns/types); the same platform also validates values (ETL/source-to-target and data quality), so you cover both.
Detect schema drift free
Catch added, missing, renamed and retyped columns before they break a job.
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