XDM Data Orchestration Platform

XDM is a test data management platform that helps organizations prepare and deliver safe, usable data for development, testing, QA, DevOps, and cloud programs. It brings together masking, subsetting, synthetic data generation, provisioning, and automation in a single approach to non-production data management.

XDM is used to manage non-production data across software delivery and modernization workflows. Common use cases include test data provisioning, data masking, synthetic data generation, environment refreshes, CI/CD automation, and cloud migration testing.

Yes. XDM supports both approaches. Protected production-derived data is valuable when realism and existing business behavior matter most. Synthetic data is useful when privacy requirements are higher, source data is unavailable, or new test scenarios need to be created quickly.

XDM reduces reliance on raw production copies by giving organizations safer ways to supply data to non-production environments. That may include masked data, targeted subsets, synthetic data, or a combination of these approaches.

XDM removes delays from the test data process. Instead of waiting on manual refreshes, tickets, or one-off scripts, teams can get fit-for-purpose data faster and keep testing and release work moving.

XDM helps organizations limit unnecessary exposure of sensitive data in lower environments. It supports stronger control over how non-production data is prepared, protected, and delivered across teams and systems.

XDM combines data protection, provisioning, automation, and synthetic data generation in a more flexible model than legacy tools. It helps organizations move beyond brittle scripts, slow refresh cycles, and hard-to-scale manual processes.