TestGen Test Types

This reference covers the 49 test types available in TestGen. Each test type targets a specific data quality concern — from missing values and format violations to statistical shifts and cross-table inconsistencies. Use this page to find the right category of tests for your needs, then follow the links for details on each test type including what it measures, how it works, and when to use it.

Data quality dimensions

Test types are organized by data quality dimension:

Data quality dimension	Description	More information
Accuracy	Evaluate whether values faithfully represent real-world quantities by comparing against baselines, references, and expected distributions.	Accuracy Tests
Completeness	Verify that all required records and values are present — no missing rows, null values, or temporal gaps.	Completeness Tests
Consistency	Ensure that data remains stable and aligned with established baselines, value lists, and business rules.	Consistency Tests
Timeliness	Confirm that data arrives on schedule and reflects expected time ranges.	Timeliness Tests
Uniqueness	Ensure that data values and rows are not inappropriately duplicated.	Uniqueness Tests
Validity	Verify that values conform to expected formats, ranges, and domain rules.	Validity Tests

Auto-generated vs. manual tests

Most test types are auto-generated during test generation based on profiling results — the system selects tests whose profiling criteria match your data. Test types marked with on the detail pages indicate auto-generation support.

Some test types can only be created manually from the Test Definitions page — these are marked with . Manual test types include custom SQL tests, referential cross-table tests, and timeframe comparisons that require user-specified parameters.