The 4 pillars of test data management

Open. Trusted. Intelligent. Ecosystem.

We built our test data management platform on four foundational principles. These aren't marketing slogans - they're design decisions that shape every product we build and every project we deliver.

 

Together, they create a platform that fits your environment, protects your data, scales your analysis, and evolves with your needs.

Four Pillars of Test Data Management

Open

Access your data from any tool through standardized interfaces. No vendor lock-in. ASAM ODS APIs, HQL queries, Python, MATLAB, REST - your choice.

Trusted

Know where your data came from and how it was processed. Full lineage tracking, controlled workflows, audit trails. Compliance-ready by design.

Intelligent

Automate analysis at production scale. Connect data science tools directly. Natural language queries make data accessible to everyone.

Ecosystem

Modular components that fit your infrastructure. Federated access without migration. Cloud-native deployment. Extensible architecture.

Open: Access Without Lock-In

The Principle

Your measurement data should be accessible from any tool you choose - now and in the future. Proprietary interfaces trap your data. Standards set it free.

 

We build on ASAM ODS, the industry standard for test data management. Any compliant tool can access your data. Switch vendors without migration projects. Integrate new tools without custom adapters.

How We Deliver It:

  • ASAM ODS 6 HTTP/REST APIs for modern integrations
  • HQL query language that works across servers and files
  • Python access via pyHQL library
  • MATLAB Toolbox for direct workspace integration
  • Native connectivity for DIAdem, Concerto, and analysis tools

Your data stays accessible for 30+ years, regardless of which tools exist then.

Trusted: Traceable and Compliant

The Principle

When auditors, regulators, or customers question your test data, you need answers. Where did this measurement come from? How was it processed? Who accessed it? When?

 

Trust isn't a feeling - it's documentation. Complete data lineage. Controlled analysis workflows. Audit trails for every action.

How We Deliver It:

  • Data lineage tracking from import through analysis to export
  • Merlin controlled workflows with versioned scripts and parameters
  • Role-based access control integrated with enterprise identity (LDAP/OAuth)
  • Complete audit logging of all system activity
  • Compliance alignment for ISO 9001, TISAX, product liability requirements

In development: Data space integration for governed cross-company collaboration.

Intelligent: Automation at Scale

The Principle

Manual analysis doesn't scale. When you generate thousands of measurements, you need automated processing that runs consistently, traces results, and frees engineers for higher-value work.

Intelligence isn't about AI buzzwords. It's about practical automation that runs in production - not just in demos.

How We Deliver It:

  • Merlin Analysis Server running thousands of jobs daily at major OEMs
  • Technology-agnostic execution: Python, MATLAB, Java, Spark
  • Event-driven triggers: new data, schedules, thresholds, custom events
  • pyHQL for data science: pandas DataFrames, Jupyter notebooks, ML pipelines
  • MCP Server for natural language queries - ask in English, get results

Production automation, not experimental features.

Ecosystem: Modular and Extensible

The Principle

Your data environment is complex. Multiple sites, multiple systems, legacy infrastructure you can't replace overnight. You need a platform that adapts to your reality.

Monolithic systems force you to change. Ecosystems adapt to fit.

How We Deliver It:

  • Janus Platform virtualizes diverse data sources without migration
  • Modular products: use what you need, skip what you don't
  • ASAMCommander extensible with custom web modules
  • Cloud-native: Docker, Kubernetes, AWS, GCP, Azure, on-premises
  • API-first architecture for integration with your existing systems

Start small, scale incrementally, extend as requirements evolve.

Products Built on These Principles

Platforms

Our server platforms give you enterprise-grade test data management without compromise. AReS Libertas delivers full ASAM ODS 6 compliance with flexible storage options, while Janus federates data across your entire landscape—no migration required. Both are built for open access, governed workflows, and seamless integration with your existing infrastructure.

Applications

Our web-based applications put control in your hands. ASAMCommander provides modular data management through your browser. Catalog Editor keeps naming conventions and metadata consistent across teams. Merlin UI lets you monitor and steer automated analysis pipelines. Together, they form a cohesive toolkit designed for intelligent automation within your broader ecosystem.

Integrated Analysis and Automation

Our analysis tools connect your data to the tools you already use. HQL queries work across servers and files with one consistent syntax. pyHQL brings that power into Python for notebooks and machine learning workflows. The MATLAB Toolbox loads measurements directly into your workspace. Open access to your data, with full traceability preserved.

4 pillars of test data management

HighQSoft GmbH

Black-und-Decker-Straße 17b
D-65510 Idstein