XDM Data Orchestration Platform

Enhance your Application Testing

XDM is a test data management and orchestration platform for development, QA, and DevOps teams. It finds, provisions, masks, generates, and delivers fit-for-purpose test data across mainframe, distributed, cloud, and hybrid environments.

Play video What our customers
have to say about XDM

Why use XDM

Organizational

Configure, share and control test data management across roles and departments

Boost productivity by providing data-on-demand across functions and departments

Shift from a reactive process to a proactive data strategy

Technical

Deploy test data seamlessly across all platforms in a unified process

Automate complex data workflows to reduce manual effort

Minimize errors in processing

Regulatory

Mask and anonymize sensitive information

Control access to data and processes

Ensure compliance with data privacy regulations such as GDPR, HIPAA, etc.

"The innovative concept of 'ordering data' has been a game-changer for our team. XDM empowers our users to select and transfer data to target environments independently, marking a significant milestone in enhancing our test data management."
- Melanie Beul - Team Lead Test & Release Management, Generali AG

"The innovative concept of 'ordering data' has been a game-changer for our team. XDM empowers our users to select and transfer data to target environments independently, marking a significant milestone in enhancing our test data management."
- Patrick Olcha – Senior Test Engineer, Union Investment

"We created a question catalog for various vendors, and only UBS Hainer's XDM system met our needs. XDM is easy to set up and use; if you know Docker and a shell, you're set. We finished the POC in a third of the expected time.."
- Ulrich Lehner – Software Architect, LVM Insurance

Value for your Teams

Developers

Specific data for creating tests and error analysis

Testers & Product Teams

Repeatably deliver realistic and consistent data to validate products

Automation engineer

Reproducible mass-data for regression and load testing

ML Engineers

Real-world mass data to (re-)train and test your AI models

Data Supply:
Automated. Repeatable. Secure.

Test data on demand. Completely trackable and logged.

Central roles for a data flow without compromise

Data Operator

Designer of the test data process

Know how entities are stored, connected and accessed

Have the skills to distribute data and automate processes

Understand entity, relationships & access

Data Consumer

Consumers with a clear data path

Specify the data requirements for their tasks

Understand business objects and dependencies

Rely on operators for efficient provisioning

Real-World XDM Solutions

Banking

Testing teams cover various platforms: Db2 z/OS, Oracle, SQL Server

Complex, interdependent data structures

XDM was the only solution to meet POC criteria

Centralized control, automation, and daily tailored data supply for teams

Insurance

Insurer (5,000+ employees) using Oracle, SQL Server, Db2, IMS (10+ PB data)

200 developers & testers across departments depend on provisioning

XDM delivers on-demand data into 600+ tables for 80,000 contracts daily

Self-service data shop enables independent, custom requests

Retail

Retailer (3,800+ stores) with a complex application landscape (central Db2, others as satellite)

Development teams need individual data provisioning & independent configs

XDM serves as a central platform for diverse databases and team workflows

Provision processes are reusable by other teams via the data shop

XDM Overview FAQs

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.