RowGen

IRI RowGen – Fast and Secure Generation of Realistic Test Data

IRI RowGen is a powerful software solution that addresses the core challenge of test data generation for businesses. It enables the rapid and secure creation of large volumes of realistic test data without relying on sensitive production data.

Key Features and Benefits

• Fast Generation of Large Data Volumes: RowGen produces millions of records in the shortest time, allowing companies to conduct extensive tests and evaluate the performance of their systems.
• Metadata-Based Data Generation: By utilizing existing metadata or dynamically created rules, RowGen generates structurally and referentially correct test data that resemble production data without compromising confidentiality.
• Flexible Data Customization: RowGen enables effortless customization of data formats, volumes, ranges, and distributions, helping businesses create tailored test scenarios.
• Versatile Output Formats: The software can generate test data in various formats, including database tables, flat files, and formatted reports, facilitating integration into different system environments.

Unique Selling Proposition

RowGen’s standout feature is its combination of speed, data privacy compliance, and realism in test data generation. Powered by the IRI CoSort Engine, RowGen delivers the fastest creation, transformation, and bulk movement of large test data sets on the market.

Customer Benefits

• Reduction of data privacy risks by avoiding the use of real production data
• Time savings in the creation of test datasets
• Improved software quality through comprehensive and realistic test scenarios
• Cost efficiency through the automation of test data generation

Use Case Example

A financial services provider uses RowGen to set up a test environment for its new customer management system. Instead of using sensitive customer data, RowGen generates millions of synthetic customer records within minutes, mimicking the structure and distribution of real data. These test data sets enable the development team to conduct extensive performance and functionality tests without violating data protection regulations. At the same time, they can simulate various scenarios by adjusting data distributions and volumes to test the system’s robustness under different conditions.