With IRI RowGen, organisations can create high-quality, realistic and data-protection-compliant test data for development, quality assurance, migrations or AI projects – quickly, flexibly and without any risk to sensitive information.
Instead of copying live production data, IRI RowGen uses metadata, data models, rules and defined relationships as the basis for generating synthetic data sets. Data types, value ranges, distributions, formats, primary and foreign keys, as well as business dependencies, are preserved without any real personal information being transferred. This results in consistent, realistic test data with referential integrity that can be precisely adapted to technical and business requirements – securely, scalably and in full compliance with data protection regulations.
Conclusion: The synthetically generated data precisely replicates real-world data structures and relationships, whilst also preserving complex relational dependencies. This ensures that tests remain meaningful and that applications behave consistently under realistic conditions.
In combination with the in-house data platform IRI Voracity, structured and unstructured data can be efficiently located, protected, transformed and managed – ideal for modern data governance and data protection requirements.
✔ Realistic synthetic test data
✔ Preservation of referential integrity
✔ GDPR- and PII-compliant data provision
✔ Faster testing and secure development processes
✔ Flexible integration into existing data landscapes
Efficiency meets experience: For more than four decades, our software solutions have been supporting companies in data management and data protection – technologically leading, reliable in productive use and applicable across all industries.
In use since 1978: Numerous well-known companies, service providers, financial institutions and state and federal authorities are among our long-standing customers.
Maximum compatibility: Our software supports both classic mainframe platforms (Fujitsu BS2000/OSD, IBM z/OS, z/VSE, z/Linux) and modern open system environments such as Linux, UNIX derivatives and Windows.