XDM
Synthetic Data
Realistic testing without sensitive data. Data generation offers flexibility, security and scalability for future requirements.
Generate synthetic test data for any test execution
Effortlessly create synthetic test data tailored for every stage of your testing lifecycle. Whether for unit, integration, or system tests, XDM delivers reliable, high-volume data generation. Seamlessly scale from single entities to thousands of inter-connected records to mirror real-world complexity.
Generate synthetic test
data for any test execution
Streamline collaboration between business and technical experts
The modular separation of business logic and technical specifications allows seamless collaboration between domain experts and technical architects. This ensures that synthetic data generation aligns with both business requirements and system constraints, enhancing efficiency and accuracy.
Streamline collaboration between business and technical experts
Realistic data without compliance risks
Generate highly realistic, production-like test data without using real individuals or sensitive information. Our approach ensures full compliance with data privacy regulations while maintaining the authenticity of test environments. By leveraging predefined or self-generated lookup tables, you can dynamically shape data based on any predefined base, offering maximum flexibility and accuracy.
Realistic data without
compliance risks
Build complex multi-
entity scenarios
Generate interconnected data for complex use cases with linked objects and structured dependencies. Our solution maintains data integrity across multiple datasets, ensuring realistic test conditions. Scripts define relationships and dependencies, enabling precise control over scenario complexity.
Build complex multi-
entity scenarios
Reusable configurations for advanced scenarios
Maximize efficiency by leveraging preconfigured data generation patterns and seamlessly integrate them into complex test scenarios. Utilize statistical insights from production databases to replicate realistic data distributions, covering common trends and critical edge cases. This approach enhances test coverage while minimizing manual effort.
Reusable configurations
for advanced scenarios
Align synthetic data with existing data sets
Integrate synthetic test data into existing test environments and databases. Seamlessly match
your data with existing test and production datasets.
Align synthetic data with
existing data sets
Flexible data export for various formats
Generate test data in multiple output formats such as CSV, JSON, XML, YAML, or databases. Direct integration with web services and test applications enables seamless workflow integration.
Flexible data export
for various formats
