Radius Tokenized Test Data

The database was full of secrets, but none of them were real. Every byte was synthetic, yet every query returned something believable. This was the power of Radius Tokenized Test Data.

Radius uses tokenization to create test data that looks and behaves like production data without exposing sensitive information. This is not masking or simple obfuscation. Each field is replaced with a generated token that is structurally valid and preserves relationships across tables. Foreign keys still map. Joins still work. Validation rules still pass. But there is no way back to the original values.

For engineering teams, this means full-scale testing with realistic datasets while staying compliant with security and privacy requirements. Realistic data shapes catch bugs earlier and remove the risk of scripting fragile mock data. Tokenized test data also scales. From development machines to staging clusters, the size and structure mirror production while the contents remain safe.

Radius Tokenized Test Data integrates directly into your existing data workflows. You can point it at a live database, define tokenization rules per column, and run the process in minutes. It supports complex schemas, nested structures, and multiple data sources. The result: consistent, reproducible test datasets that reflect reality without ever leaking it.

Performance matters. Radius is built to run tokenization in parallel, using streaming pipelines that handle millions of records without downtime. The process keeps indexes intact and database constraints functional. This allows load testing, analytics, and debugging in representative environments without touching actual user data.

Security is absolute here. Tokens are generated using deterministic algorithms where needed, ensuring that related fields across tables remain aligned. No originals are stored. No token can be reversed without the secure and isolated key management layer, which is never exposed in test environments.

With Radius Tokenized Test Data, quality assurance becomes faster, safer, and more accurate. Data-driven tests reflect real-world complexity. Compliance and privacy are not afterthoughts. There is no trade-off between speed and protection.

See how it works with your own schema. Run Radius on hoop.dev and watch tokenized test data come to life in minutes.