Synthesized TDK. Populating Test Environments with Production-Like Data

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Тема Synthesized TDK. Populating Test Environments with Production-Like Data
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Msg-id 169580771373.3727336.15635424504004199795@wrigleys.postgresql.org
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Synthesized TDK. Populating Test Environments with Production-Like Data

TDK provides an advanced solution for populating test environments with data that closely resembles production data, with a focus on safety and security. This solution enhances and automates the various features offered by PostgreSQL, enabling data generation, masking, and transformation using SQL and third-party extensions. We have previously discussed this topic in detail in our article here.

Key features

  • Data generation, if you do not have enough production data in the test environment - this will allow you to test your applications, including functional and loading tests
  • Subsetting - creating a small slice of data from a large production database while preserving all data relations and properties
  • Masking - allows you to test, analyze, and share your production data securely

Try it

You can try TDK for free by downloading the tool from this page. Follow the instructions for Installation and Getting started. Additionally, there are other installation and usage options for TDK:

Demo projects

We have various demo projects with different levels of complexity to provide a simpler way to start using TDK in your environments:

  • tdk-demo-postgres - Try TDK in action with legendary Pagila sample database
  • tdk-demo-vault - The simple demo with Hashicorp Vault as a secret manager to store and manage database credentials
  • tdk-demo-oracle - Masking data in an Oracle database and converting it to a PostgreSQL database
  • springjdbc-tc-tdk - The simple Java application with TDK and Test Containers for integration testing
  • flyway-spawn-demo - Testing Flyway database migrations
  • tdk-microservices-demo - The example of using TDK in a distributed SOA application

Supported platforms

TDK supports not only classical PostgreSQL, but also various Postgres-based platforms and distributions, including:

  • GCP Cloud SQL for PostgreSQL
  • Amazon RDS for PostgreSQL
  • Heroku Postgres
  • Yugabyte
  • Supabase
  • Timescale

Contacts and Feedback

If you have any questions, suggestions, or ideas, please feel free to send them to us here.

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