Mage Data Test Data Management

What Mage Data Test Data Management is

Mage Data Test Data Management automates secure test-data delivery for CI/CD pipelines. It supports in-place masking, Extract-Mask-Load pipelines from production, and instant virtual database copies. Static masking permanently protects sensitive information in non-production environments, while intelligent subsetting extracts production subsets with intact relationships. Database virtualization creates space-efficient copies in minutes to reduce storage use and speed testing. Context-preserving masking is designed to retain referential integrity and statistical consistency. A conversational interface lets users request datasets and manage provisioning with natural language, and APIs can automate workflows. Listed CI/CD integrations include Jenkins, GitLab CI, GitHub Actions, and Azure DevOps Pipelines; other orchestrators can connect through a REST API. Mage Data says deployment occurs on-premises, in a customer cloud account, or in a hybrid environment rather than as SaaS. Its repository stores metadata and policies, while virtual copies remain on customer servers. Pricing is available by request.