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.

Key Benefits:

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%

Key Features:

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

Supported databases:

SQL Server
PostgreSQL
MySQL
Oracle
DB2

Synthesized TDK – Populate non-production environments with production-like dataSynthesized.io

Synthesized TDK – Populate non-production environments with production-like data

Synthesized.io

Synthesized TDK – Populate non-production environments with production-like data

Synthesized.io

Synthesized TDK – Populate non-production environments with production-like data
Synthesized.io