Benerator is a leading software solution to generate, anonymize, pseudonymize and migrate data for development, testing and training purposes.
Benerator is easy to learn, integrates into CI Tools like Jenkins and Gitlab CI and allows to create datamodels on the most abstract level without coding knowledge.
Benerator combines complex testdata from various source systems and enriches your data synthetically (synthetic test data generation). Run realistic and production like test scenarios that light up shortcomings and requirement issues before going live.
Create GDPR compliant testdata for all levels of your software development process with Benerator. Decide which data objects need anonymization and build your proper set of production like test data.
Benerate suitable test data for your distributed systems and create consistent mock systems with dummy data or anonymized production data from production environments.
Automate your generation process of data and benerate large data volumes in short time for complex test scenarios. Do not struggle with data aging, as you can create massive sets from scratch for every test run.
Good news. Benerator is your data generation tool for
load tests, performance tests, unit tests, test automation and business tests.
Optimized high performance beneration of your quality data allows creation in your continuous integration pipelines per test execution.
Benerator obfuscates private and sensitive data with a broad range of built-in generators. Replace sensitive items easily with valid but synthetic data, that looks, behaves and feels like production data.
Benerators built-in generators support a wide-range of distributions,
to mimic datasets that reflects reality. Use percentages, stochastic formulas like Gaussian, Exponential or define
custom distributions according to your needs.
Use-case: Create a customer base that is equally distributed over the US => Benerator will create persons along with valid addresses and distributes them over the US considering your individual setup parameters like state/city population, gender, age and many more.
Benerator creates valid subsets from multiple databases (referential integrity assured) for your testing or migration work. You can also use custom SELECTS to fine-tune your data slice.
Benerator models can be reused in many steps of your software development life cycle. You can reuse your data model from building your mock system to migrate your production system.
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Meet the team behind Benerator and explore our solution portfolio: