XDM Cloud

XDM provides secure, scalable test-data management across cloud, hybrid, and on-premises environments. Provision, mask, generate, and refresh data across cloud databases and legacy systems with Kubernetes, OpenShift, Terraform, and REST APIs.

Handle test data for cloud applications

The deployment of applications into a cloud infrastructure should be backed up by a test data strategy. Cover all platforms, from legacy systems to cloud, beginning from the migration process.

Handle test data for cloud applications

Extract and apply data in cloud databases

The database layer can be moved to a cloud infrastructure platform. Connect to cloud databases and master the test data challenge across system boundaries. Connect to Oracle PDBs, AzureDB, PostgreSQL, and EnterpriseDB, and integrate with Google BigQuery, Apache Spark, and other cloud databases.

XDM test data platform supports

Extract and apply data in cloud databases

Provide test data with your application service APIs

XDM simplifies data integration by enabling seamless reading from REST APIs, incorporating robust data masking methods, and allowing direct writing back to application APIs. This reduces the need for in-depth technical knowledge of the database layer, making it more accessible and user-friendly. XDM facilitates the inclusion of applications in the test data provisioning process, even when the database layer is not connected.

Provide test data with your application service APIs

Connect to key value and document databases

Use XDM’s generic JDBC connector to interact with data in key-value stores and document databases. This functionality allows you to integrate Hadoop clusters, Redis stores, and MongoDB data into your test data processes. Additionally, you can use the APIs of these databases to read, modify, and write data. XDM also supports high-performance binding requirements for specific projects.

Connect to key value and document databases

Install XDM in Kubernetes or OpenShift

Install and manage XDM within a Kubernetes or OpenShift cluster using the provided Helm Chart, which standardizes and simplifies the process. Seamlessly integrate infrastructure as code systems like Terraform and Flux to automate installation steps. Define your desired XDM installation, and it will be automatically deployed. Kubernetes or OpenShift will then handle provisioning, scaling, and updating resources.

XDM on Kubernetes

Install XDM in Kubernetes or OpenShift

Configuration as Code

XDM’s configuration deployment can manage your configuration files with a Git source code repository. The configuration format is human-readable, and changes are applied automatically.

Configuration as Code

Integration

All processes can be started or scheduled using XDM’s REST API. Configurations can be changed via an import and export feature. A Jenkins plug-in is also available. XDM can invoke other tools via their APIs. These calls can be made before or after individual task steps, or from within workflows

Integration

Streamlined process management with XDM

With XDM’s REST API, you can easily start or schedule all processes. Take advantage of the import and export feature to change configurations effortlessly. For added convenience, XDM offers a Jenkins plug-in. XDM supports seamless integration by invoking other tools via their APIs. These API calls can be made before or after individual task steps, or within workflows, providing maximum flexibility and control over your processes.

CI/CD

Streamlined process management with XDM

Consistent data masking across cloud and legacy systems

Use XDM’s powerful masking mechanisms for all your test data. Whether dealing with cloud technologies or legacy VSAM clusters, XDM enables seamless and uniform data masking. Apply out-of-the-box methods for quick application, or customize your masking solutions to meet specific regulations and test requirements.

Masking

Consistent data masking across cloud and legacy systems

XDM Cloud FAQs

XDM supports cloud environments by helping organizations prepare, protect, and provision non-production data for cloud-based development, testing, and migration efforts.

Yes. XDM helps teams work with smaller, safer, and more portable data sets for migration testing, validation, and environment setup.

Yes. XDM supports hybrid environments by helping organizations manage non-production data consistently across both on-premises and cloud systems.

XDM helps cloud teams move faster by reducing manual coordination around test data and making environment setup more efficient and repeatable.

XDM supports cloud development, migration testing, temporary environments, validation workflows, and broader modernization efforts that depend on safe, usable non-production data.