Description
Full SQL data types support
Generators cover all SQL data types
Predefined generators
Use 150+ predefined generators for meaningful data e.g. names, addresses, credit card numbers, social security numbers
Cross-column dependency support
Generate test data based on another column’s values with predefined conditional, string, date and numeric functions
Customization
Use a wide range of predefined options to customize data, like seed, length, minimum and maximum values, uniqueness of data, and percentage of null values.
User defined generator
Save any generator’s settings so it can be reused later with already prepared setup.
Table mapping
Use intelligent column recognition pattern to populate table with data from external sources like other database tables and views or CSV files.
Bypass triggers and Check constraints
Disable Insert and Delete triggers, and Check constraints to avoid referential integrity errors
Relational integrity support
Include or exclude dependent objects in the generation process
Exports
Execute the generated data against a database, or choose one of the exporting options