IRI RowGen
de Innovative Routines International
IRI RowGen creates safe, synthetic data for testing, masking, and prototyping purposes.
IRI RowGen: High-Fidelity Synthetic Data Generation
IRI RowGen is a test data management (TDM) solution that generates massive volumes of realistic, referentially correct synthetic data from scratch—eliminating the need to access sensitive production data. Using data definitions, DDLs, and metadata, RowGen rapidly populates large and complex relational databases, flat files (CSV, JSON, XML), COBOL index and sequential files, Excel sheets, and ASN.1 CDR files with realistic test data while preserving constraints, frequency distributions, value ranges, and consistency.
Powered by the high-speed IRI CoSort engine, RowGen also pre-sorts and bulk-loads test data directly into target environments at scale.
Key Benefits & Use Cases
DevOps & QA Engineers: Instant, compliant test datasets for CI/CD and automated testing pipelines.
DBAs & Data Engineers: Prototype schemas, test ETL/ELT workflows, and benchmark scalability without production data.
Developers & Offshore Teams: Code and test safely offsite using realistic mock data.
Compliance Officers: Satisfy GDPR, HIPAA, CCPA, and PCI-DSS requirements by removing real PII from testing environments.
DevOps & QA Engineers: Instant, compliant test datasets for CI/CD and automated testing pipelines.
DBAs & Data Engineers: Prototype schemas, test ETL/ELT workflows, and benchmark scalability without production data.
Developers & Offshore Teams: Code and test safely offsite using realistic mock data.
Compliance Officers: Satisfy GDPR, HIPAA, CCPA, and PCI-DSS requirements by removing real PII from testing environments.
Pain Points Addressed
Data Privacy Risks: Eliminates breach risks associated with masking production data by synthesizing safe data from scratch.
Slow Provisioning: Automates test data creation in minutes rather than waiting days for database copies.
Volume & Edge Case Limits: Generates custom distributions, boundary conditions, and multi-terabyte datasets for stress testing.
Testing Pre-Production Systems: Enables data generation for new applications before production data exists. RowGen can simultaneously transform, format, and provision multiple custom targets as data is generated.
Data Privacy Risks: Eliminates breach risks associated with masking production data by synthesizing safe data from scratch.
Slow Provisioning: Automates test data creation in minutes rather than waiting days for database copies.
Volume & Edge Case Limits: Generates custom distributions, boundary conditions, and multi-terabyte datasets for stress testing.
Testing Pre-Production Systems: Enables data generation for new applications before production data exists. RowGen can simultaneously transform, format, and provision multiple custom targets as data is generated.