GenRocket: Any Volume, Variety, and Format of Synthetic Test Data
GenRocket synthetic test data management is unlike any other form of TDM. It brings the ability to model and design any type of test data for any type of test based on predefined rules. Controlled and conditioned synthetic data is defined by a light-weight instruction set in an executable Test Data Case. This instruction set is used to generate a fresh copy of synthetic data in real-time as automated tests are run in the CI/CD pipeline.
GenRocket comes fully ready to run synthetic test data for the healthcare and financial services industries. X12EDI (healthcare) and ISO 20020 (MX Message Data for the financial services industry). And you can also run Salesforce test data right out of the gate with our prebuilt cases.
No other synthetic test data platform offers the volume, variety, format, and flexibility of GenRocket. Take it for a test drive and see for yourself why GenRocket is the leading synthetic test data platform.
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The top-rated synthetic data platform on the G2 Software Marketplace
Learn more about the many ways synthetic test data can improve test data coverage, scalability, and test data automation.Click Here to Download the
Test Data Automation Deployment Guide
GenRocket: A New Synthetic Test Data Paradigm
Shortens test data production from days to hours or minutes
Generate negative and edge-case data with ease
Integrates easily into CI/CD pipeline and all testing environments
The best value for money with no hardware requirements, lower costs
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100% Data Privacy Perfect for Financial Services,
Healthcare Systems Testing
By itself, production data doesn’t provide the data variety that is needed for testing transaction flows with full coverage. Additionally, sensitive data values, such as those in financial services and healthcare, that are found in production data must be profiled and masked prior to use in a lower test environment. This can take days and weeks to provision.
Synthetic data removes these limitations. GenRocket can retrieve reference data from an existing production database and blend it with synthetic test data that is 100% private and secure. Then synthetic data can be generated in the volume, variety, and format required for any category of test.