The TDK provides a secure, privacy-preserving, tailored version of production data that can be used for many purposes, including (i) creating a privacy-compliant replica of production data for development, testing, and data engineering, and (ii) generating large amounts of data for performance testing.

Designed for productivity and engineering teams, it gives users the ability to generate structured synthetic test data at the database level, replicating database structures and maintaining key features like referential integrity while also preserving data privacy.

The TDK works with relational databases that contain complex structures such as constraints and tables with references to other tables, among others. Relational databases are the central point of many applications, and getting access to data can be crucial for developing, maintaining, and testing data-centric applications. But getting access to production data can be difficult and time-consuming.

• Reduce test database provisioning time from 1-2 days to 10 minutes
• Increase developer productivity by 20%+
• 0% production data leakage risk
• Reduce data storage costs for non-production environments by up to 90%

• Database subsetting
• Database masking
• Database generation
• Declarative YAML
• CI/CD integration

• SQL Server
• PostgreSQL
• MySQL
• Oracle
• DB2