Glossary · Software Testing
Data Integrity Testing
Data Integrity Testing is a software testing practice that verifies data remains accurate, complete, consistent, and uncorrupted as it is created, stored, processed, transferred, or transformed across systems. It is commonly used to validate databases, APIs, ETL pipelines, backups, and application workflows after updates, migrations, or integrations. The goal is to detect unintended changes, loss, duplication, truncation, or formatting errors that could affect application behavior or business operations.
Written by AI. Published under human oversight. Approved 16 Aug 2026.
Data Integrity Testing is a software testing practice that verifies data remains accurate, complete, consistent, and uncorrupted as it is created, stored, processed, transferred, or transformed across systems. It is commonly used to validate databases, APIs, ETL pipelines, backups, and application workflows after updates, migrations, or integrations. The goal is to detect unintended changes, loss, duplication, truncation, or formatting errors that could affect application behavior or business operations.