GenRocket

GenRocket is a test data management platform built on synthetic data generation. Instead of copying production data into lower environments, it generates realistic test data to a design, keeping referential integrity across tables and formats. The platform also masks and subsets existing databases, replacing sensitive values synthetically rather than copying them, and distributes the resulting datasets across test environments. It is built for QA, development and data teams in regulated sectors such as financial services, healthcare, insurance, telecommunications and retail, where production data cannot be used for testing. The vendor lists more than 750 data generators and support for more than 110 data formats, in place masking for whole databases, PII detection, and processing of 2.5 million rows per minute for subsetting and masking. Self service portals let development teams request or create test data with team permissions, SSO and MFA, and the platform integrates directly with CI/CD pipelines and testing frameworks. GenRocket also positions itself as a source of training data for AI and machine learning work. Pricing is quote based. The published model is project based: a minimum of 20 test data projects, five versions per project, unlimited test data sets in lower environments, unlimited users, multi tenant hosting on an annual term, 20 hours of onboarding, training and 24/5 support. Single tenant hosting, an X12 EDI accelerator, an unstructured data accelerator, service blocks and five project add ons are priced on request. GenRocket holds a US patent on its data generation approach and sells primarily through a demo request rather than self serve signup.