The 5 pillars of test data management

Accessible. Trusted. Automated. Intelligent. Connected.

We built our test data management platform on five foundational principles - we are calling them the 5 pillars of test data management. 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.

 

Five Pillars of Test Data Management

Accessible

Connect any tool. Access any data. Standardized interfaces, no vendor lock-in. ASAM ODS APIs, HQL, Python, MATLAB, REST.

Trusted

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

Automated

Scale analysis. Automate everything. Thousands of jobs daily in Python, MATLAB, Java, or Spark. No manual intervention.

Intelligent

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

Connected

All sources. One interface. Federated access without migration. Cloud-native deployment. Data stays where it is.

Accessible

Connect any tool. Access any data.

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.

 

With us, your data stays accessible for 30+ years, regardless of which tools exist then.

  • 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

 

Trusted

Traceable and Compliant

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 is already integrated. Controlled analysis workflows. Audit trails for every action. We are providing it.

 

Readiness for data space integration for governed cross-company collaboration.

  • 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

 

Automated

Scale Analysis, Automate Everything

Manual analysis does not scale. When you generate thousands of measurements per week, you need automated processing that runs consistently, traces every result, and frees engineers for higher-value work. This is not workflow tooling. It is enterprise-grade job orchestration, running in production at major OEMs every day.

 

We are about production automation, not experimental features.

  • Merlin Analysis Server running thousands of jobs daily at our costumers
  • Technology-agnostic execution: Python, MATLAB, Java, Spark
  • Event-driven triggers: new data arrival, schedules, thresholds, custom events
  • Full result transparency: configuration, progress, and outputs tracked for every job
  • Merlin UI for monitoring, control, and workflow management

 

Connected

All Sources, One Interface

Test data is scattered across systems, sites, and formats. Engineers waste time hunting for data instead of analyzing it. Multiple sites, multiple systems, legacy infrastructure you cannot replace overnight. A federated approach provides unified access while data stays where it is. No migration required. No disruption to existing workflows.

 

Start small, scale incrementally, extend as requirements evolve.

  • Janus Platform federates multiple data sources into a single ASAM ODS view
  • Multi-source support: ODS servers, MDF4, TDMS, Parquet, ATFx, data lakes
  • Cloud-native: Docker, Kubernetes, AWS, GCP, Azure, Alibaba, on-premises
  • Hot/cold data management for cost-optimized storage
  • API-first architecture for integration with your existing systems

 

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.

5 pillars of test data management

HighQSoft GmbH

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