GenRocket

Founded 2012

Generate realistic synthetic test data on demand for automated testing and CI/CD pipelines

Pricing model

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Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use GenRocket to design and generate synthetic test data on demand without copying production databases. The system allows QA and development teams to model complex data scenarios, maintain referential integrity, and output records across over one hundred file formats. It provides automated data subsetting, masking for sensitive records, and orchestration directly into continuous integration workflows. Teams can create test datasets for edge cases, performance testing, and machine learning model validation while keeping confidential customer information safe from exposure.

What GenRocket does

Generate synthetic test data records for QA scenariosExtract and subset tables from SQL databasesMask sensitive personally identifiable informationAutomate test data delivery in CI/CD pipelinesCreate complex relational datasets with referential integrityConfigure data generation rules using web questionnairesExport test data into formats like JSON, XML, and CSVGenerates synthetic data on demand with referential integrityReplaces production data with synthetic values without copying personal informationSubsets data across relational databases like Oracle, MySQL, and PostgreSQLIntegrates into CI/CD build and test automation pipelinesSupports over one hundred output data formats and 750 generatorsProvides self-service portals and questionnaires for test data requestsProduces unbiased synthetic training datasets for machine learning models