Besides, it’s pretty simple to use, offering great flexibility and manual control for generating foreign key data. It contains generators with parameters such as table names, column names, field length, data types, etc. If you need a powerful tool to create large volumes of accurate data, then Redgate SQL Data Generator can get it done within a few clicks. Since it comprises a wide variety of data generators, you can always build customized generators befitting your business requirements. You can also change the properties of data generators as per your specific range and format. For instance, you can use the string generator for random strings and the integer generator for random integer values. It comes with a wide range of built-in data generators for generating several types of data. The visual studio data generator is a premium test data generation tool to produce schema-appropriate test data. The tool supports all popular database systems such as IBM DB2, Oracle, MySQL, MS SQL Server, etc. Its schema analyzer feature further enables you to create data realistic without making any additional project modifications. Its data generation engine comes with 70+ built-in functions and expressions, allowing you to define complex test data supporting dependencies, internal structure and relationships. With this tool, you can automatically create data values and optional schema objects like triggers, tables, procedures and views. 10 Best Test Data Generation Tools DTM Data GeneratorĭTM data generator is a reliable tool for delivering high-quality and realistic test arrays by generating data rows and schema objects. It can be done by replacing confidential data with dummies.
Apart from storing data, a test data generation tool also helps in securing your existing data. You can use these data in other databases too. These tools help testers with load, performance and stress testing. Therefore, you need some test data generation tools to insert data into the database with ease. Manually inserting data is not an affordable and time-friendly option. It requires a large volume of data to test applications.
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