Default, Volume Data Generator

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• Parallel processing architecture to improve performance by leveraging the power of the multi-core machines
• Data generation from scratch
• Data explosion resumption from the point where it stopped due to any interruption in the process of data explosion
• All relational databases supported, as well as excel and flat files
• Wide variety of platforms supported, including Windows, UNIX, Linux, DB2 on Mainframe
• Efficient data transformation techniques embedded
• Large volume of data generation using less hard disk space
• Data subsetting
• Constraint editor
• Visual validations
• Pluggable interface
• Schema refresh
• Build project feature
• Externalized output location

• Large volume of realistic data generated to be used for data migration testing, capacity planning, functional testing, query optimization, load / stress testing and performance testing
• Test data generation from scratch, even without sample data
• Automated process for data generation, hence saving considerable amount of time and effort
• Reduced development time with the elimination of data-related errors
• Easy to learn and simple to use
• Low resource consumption and highly adaptable to any existing hardware