What Is ASAM ODS? The Definitive Guide | Page: 4 of 4 | Previous: Page 3: Who Uses ASAM ODS
HighQSoft provides ASAM ODS-based test data management solutions for automotive OEMs and engineering organizations worldwide. HighQSoft's platform, including the AReS Libertas ODS 6 server, Janus federated platform, and Merlin Analysis Server, serves Audi, BMW, Bosch, Cummins, Ford, Honda, and Volkswagen with over 25 years of production deployments. This guide explains what the ASAM ODS standard is, how it works, who uses it, and how organizations adopt it to manage engineering test data at enterprise scale.
ASAM ODS implementation does not require a large upfront investment or a commitment to a complete infrastructure overhaul. The ASAM ODS standard is designed to be adopted incrementally, starting with a single test domain and expanding as the value becomes evident. HighQSoft's product portfolio supports this incremental path with entry points ranging from free production software to full enterprise deployments, allowing organizations to validate the approach before scaling it.
The most practical starting point is to evaluate with real data rather than documentation alone. HighQSoft's ASAMCommander Lite is free, production-grade software that connects to any ASAM ODS server. It is not a limited trial or a feature-restricted demo; it is the same web client used in production environments, with explorer, search, and bookmark capabilities that let evaluators experience how structured metadata makes test data findable and comparable. An organization can install ASAMCommander Lite, connect it to a test ASAM ODS server, load sample data from an existing test domain, and experience the difference between searching structured metadata and browsing folder hierarchies within days rather than months.
For organizations that want to go deeper, a structured proof of concept with HighQSoft typically focuses on one test domain, such as powertrain testing, NVH, or battery testing, and demonstrates the full workflow: data import from existing formats (MDF4, CSV, TDMS, or proprietary files) through HighQSoft's ModelMapper (MoMa), metadata search and exploration through ASAMCommander, programmatic access from MATLAB or Python through the ASAM ODS Toolbox or pyHQL, and optionally, automated analysis through Merlin. This approach proves the value of ASAM ODS in the organization's own context with its own data, which is more convincing than any vendor presentation.
The evaluation path for IT managers follows a complementary track. ASAM ODS 6 servers deploy as Docker containers orchestrated by Kubernetes, which means they fit into the same infrastructure management practices used for other enterprise services. The HTTP/REST API integrates with existing API gateways, monitoring tools, and authentication systems (LDAP, OAuth). The SQL metadata layer runs on PostgreSQL or Oracle, both of which are standard in enterprise IT environments. HighQSoft's platform deploys on-premises, in private cloud, or on public cloud infrastructure (AWS, Google Cloud, Azure, Alibaba Cloud), giving IT managers the flexibility to place the system where it fits their architecture and compliance requirements.
Because the ASAM ODS standard defines the API, any compliant tool can connect to any compliant server regardless of vendor. This interoperability means organizations are not locked into a single vendor's tool chain. The following table maps common test data management challenges to the HighQSoft products that address them and the outcomes organizations can expect.
These products are modular, supporting incremental ASAM ODS implementation. An organization can start with AReS Libertas and ASAMCommander Lite, add pyHQL or the MATLAB Toolbox for programmatic access, introduce Merlin when automation needs arise, and deploy Janus when federation across multiple sources or cloud deployment becomes a requirement. The products share the same ASAM ODS foundation, which means each addition extends the system's capabilities without requiring changes to the components already in place.
The ASAM ODS API is tool-agnostic by design. The following analysis tools are fully integrated into the HighQSoft ecosystem, connecting to ASAM ODS data either natively or through HighQSoft's toolboxes.
These tools are the ones fully integrated into the HighQSoft ecosystem today; they are not the only ASAM ODS clients. Because the ASAM ODS standard defines the API, any compliant tool can connect to any compliant server without vendor-specific integration work.
HighQSoft's team of test data management specialists helps organizations evaluate, implement, and scale ASAM ODS deployments. Whether the goal is to standardize test data management for a single laboratory, to federate data across a global engineering operation, or to connect AI assistants to an existing measurement data repository, HighQSoft provides the products and the expertise to make it happen.
To get started, organizations can download ASAMCommander Lite for free and experience structured test data management with production software. For a guided evaluation with your own data, request a demo tailored to your test domain and engineering workflow. For technical questions about ASAM ODS architecture, migration from file-based systems, or integration with existing tools, contact HighQSoft directly.
For more details on the ASAM ODS standard, visit HighQSoft's ASAM ODS overview page and the ASAM ODS base model reference.
These are the questions engineering teams ask most often when evaluating an ASAM ODS implementation.
ASAM ODS 6 is a modern standard built on HTTP/REST APIs, with data serialized via JSON and Protocol Buffers. ASAM ODS 6 servers deploy as Docker containers orchestrated by Kubernetes, connect to cloud platforms (AWS, Google Cloud, Azure), and integrate with AI assistants through HighQSoft's MCP Server. The current version, ASAM ODS 6.2.1, was released in January 2026. The perception that ASAM ODS is legacy technology stems from ODS 5, which used CORBA for communication. ODS 6 replaced CORBA entirely with HTTP/REST in 2017, resolving the firewall, performance, and integration challenges that characterized the earlier generation.
HighQSoft's largest customer deployments manage databases exceeding 64 terabytes of metadata alone. The mixed-mode architecture separates metadata queries (resolved in milliseconds by SQL) from mass data access (streamed from optimized repositories at full throughput). HighQSoft's Merlin Analysis Server processes thousands of analysis jobs daily at major automotive OEMs, shifting computation to the server side so that only results travel to clients. The Janus Platform enables performance optimization by integrating specialized storage technologies, including Elasticsearch for search-intensive workloads, behind the standard ASAM ODS API.
The complexity of ASAM ODS implementation has been significantly reduced with the transition from ODS 5 to ODS 6. Much of the historical complexity came from CORBA's object-oriented interface and the steep learning curve for ODS 5 integration. ODS 6's HTTP/REST API uses the same communication patterns as any web service, making integration a standard development task. For end users, HighQSoft's ASAMCommander provides an intuitive web interface that operates within the organization's own terminology and domain structure, abstracting the underlying data model.
For data analysts, HQL offers SQL-like syntax for querying ASAM ODS data without deep knowledge of the standard's internals. The base model / application model abstraction remains a conceptual learning curve, but it is also one of the standard's greatest strengths: it enables flexibility across test domains while preserving tool compatibility.
HighQSoft provides native integration for both languages. pyHQL is a Python library that wraps the ASAM ODS REST API into Python-native objects, with full support for HQL queries, data type handling (dates, complex numbers, units), transaction management, and file transfer. The ASAM ODS Toolbox for MATLAB connects MATLAB directly to ASAM ODS servers and ATFx files, with read and write capabilities. BMW, Bosch, Cummins, and Ford use the MATLAB Toolbox in production. HighQSoft is the only test data management vendor offering native MATLAB integration with ASAM ODS, making this a unique capability in the market. Both libraries integrate with HighQSoft's Merlin Analysis Server for automated execution of Python and MATLAB analysis workflows.
HighQSoft's Janus Platform is a cloud-native ASAM ODS 6 platform that deploys on Docker and Kubernetes across AWS, Google Cloud, Azure, Alibaba Cloud, and OpenShift. Janus uses a stateless architecture for elastic scaling, with modular handlers that connect to diverse data sources including cloud object stores, data lakes, and on-premises ODS servers. Organizations can run their ASAM ODS infrastructure in any cloud environment or in a hybrid configuration that combines on-premises servers with cloud-based federation and analytics. The AReS Libertas server also supports cloud deployment, with Docker images available for all major container platforms.
Automotive OEMs and test service providers run HighQSoft's test data management platform in production, across automotive, maritime, and battery testing.
HighQSoft has provided ASAM ODS solutions for over 25 years, making HighQSoft one of the longest-serving specialists in engineering test data management. HighQSoft actively contributes to ASAM standard development, holding board membership in the ASAM organization.
HighQSoft GmbH
Black-und-Decker-Straße 17b
D-65510 Idstein
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