Redgate Test Data Manager について

信頼性と安全性に優れたテストデータプロビジョニングにより、高品質なソフトウェアリリースを実現

Redgate Test Data Manager is a comprehensive software solution designed to streamline and automate the process of managing and provisioning test data within database environments. It offers functionalities to mask sensitive data, generate realistic synthetic data, and efficiently provision data for testing purposes while ensuring compliance with data privacy regulations such as GDPR and CCPA.

Redgate Test Data Manager facilitates efficient testing cycles, accelerates development workflows, and enhances data security measures, ultimately leading to improved software quality and reduced risks associated with handling sensitive information.

Develop and test with confidence
Bring fresh, production-like data into lower environments, enabling consistent and reliable development and testing. Eradicate issues before they reach production for updates you can trust.

Simplify your workflow
Enjoy uninterrupted working and reduce the number of bottlenecks throughout your processes. Spin up light, dedicated server-level clones, so you can work efficiently without stepping on your colleagues' toes.

Rapid and secure self-service
Self-serve the data you need, when you need it, with sensitive data handled. Say goodbye to delays and focus on your tasks with confidence.

Benefits of Redgate Test Data Manager:

  • Data Masking
    • Protect sensitive data by obfuscating or anonymizing personally identifiable information (PII) and other sensitive data elements.
  • Synthetic Data Generation
    • Create realistic yet synthetic datasets for testing purposes, eliminating the need for production data in non-production environments.
  • Data Provisioning
    • Efficiently provision subsets of data for testing, ensuring that testers have access to the necessary information without compromising security or privacy.
  • Data Discovery
    • Identify and classify sensitive data within databases to facilitate targeted masking and provisioning efforts.
  • Compliance Management
    • Ensure compliance with data privacy regulations such as GDPR and CCPA by implementing robust data masking and privacy measures.
  • Integration
    • Seamlessly integrate with existing development and testing workflows, including CI/CD pipelines and database management systems, to automate data management processes.
  • Collaboration Tools
    • Enable collaboration among development, testing, and operations teams by providing centralized access to data management tasks and resources.