How does GenRocket generate data?

GenRocket uses a "Model, Design, Deploy, Manage" methodology. We use 14 different methods to help automate modeling a test data project that very accurately represents the data relationships. Methods include using the metadata from a SQL database, pulling a data model from a metadata management tool such as Ab.Initio, Allation or Collibra, or perhaps using an XSD. We then have automations that help a Test Data Engineer very quickly design any data that is needed (unit, integration, load, negative) and always with referential integration. We then allow completely flexible deployment of the data into CI/CD pipelines, test automation frameworks, and can integrate the data, on demand into any testing tool such as LambdaTest, Tricentis Tosca or Eggplant. We lastly offer a management layer that allows full visibility to what is going on across the platform with reporting and real time dashboards. I hope this helps to answer your question.