Sarus' high fidelity Synthetic Data is the perfect alternative to using personal data for testing, debugging or for designing new applications. This data can also be used for training purposes at no risk or be listed on a public portal to initiate collaborations in a data-mesh mindset.
Sarus synthetic data supports multi-table relationships, all standard database types (numeric, dates, categories, text) and statistical accuracy spanning multiple columns. It comes built-in with any dataset that is onboarded on the application.
Using synthetic data shortens development cycles, reduces errors, and enables catching new realistic edge cases early on, while allowing to minimize use of personal data.