IncQuery Cloud is an enterprise-grade, scalable component framework that connects engineering data silos together to build the knowledge graph, storing a complete, searchable and analyzable representation of all of your engineering data, including silo contents and digital threads. IncQuery Cloud provides a toolbox of several solutions to enhance your digital engineering experience through digital thread analytics.
Help Digital Engineering Analysts to build advanced digital threads, so they can carry out in-depth analytics, such as coverage reporting and consistency checking across engineering silos.
Working with our team of experts, you can build custom engineering solutions to realize digital continuity across your entire toolchain.
All functionality protected by enterprise-ready authorization and access control (OIDC 2.0).
Automation support via Devops-style Continuous Integration pipeline platforms such as Jenkins.
Flexible deployment options (including Linux VMs, as well as Kubernetes and OpenShift clusters) allowing to scale to large enterprise needs.
Modular architecture and open APIs ensure unique customization and extension possibilities.
Efficiently extracts engineering data and metadata from popular engineering tools in the ALM/PLM and MBSE ecosystems, to build and maintain a scalable and versatile data lake where all of your assets can be freely accessed, analyzed, and integrated.
Built on a modular architecture, IncQuery Cloud supports flexible deployment approaches catering to popular enterprise on-prem platforms such as Linux-based VMs, as well as Kubernetes and OpenShift clusters.
Includes powerful components, such a Workspace Manager to configure and automate the maintenance of the knowledge graph.
IncQuery Viewer to provide a web-based overview of all of your data
IncQuery Analyzer to provide graph query (SPARQL, VQL) as well as full-text search (Elasticsearch) capabilities, with a deep integration with the popular Jupyter open-source data analytics environment.
IncQuery Integrator to build automated bridges that can map engineering data and metadata across tool boundaries, with traceability support.
In the new era of digitalization, there is an ever-growing need for design and production processes capable of increasing systems quality, reducing risks and the chance of errors while at the same time reducing overall production costs. Nowadays, more and more systems design scenarios comprise an overwhelming number of domains, also displaying a remarkable diversity in their nature.
However, the tool landscape underlying this conceptual space is still dominated by closed ecosystems, resulting in engineering data remaining in separated silos. Consequently, engineering processes remain fragmented, introducing collaboration overhead, especially in handover scenarios, i.e., whenever the engineering process transitions between phases such as requirements-to-architecture or architecture-to-detailed design.
In order to effectively deal with such novel, massively diverse, yet interconnected engineering scenarios, IncQuery offers new ways to look at the digital thread. We are building the new generation of toolchains that can turn the siloed multi-domain engineering data into a holistic, accessible and globally analyzable digital thread. This is more than just linking model elements and documents together: with IncQuery, you can break the silos and gain full access to your most valuable digital assets, engineering data and metadata.
Our ultimate aim is to help Digital Engineering Analysts to build advanced digital threads, so they can carry out in-depth analytics, such as coverage reporting and consistency checking across engineering silos. Working with our team of experts, you can build custom engineering solutions to realize digital continuity across your entire toolchain, with built-in connectors available for several ecosystems in the ALM/PLM and MBSE space:
The Workspace Manager is used to configure and automate the maintenance of the knowledge graph. It provides an overview of your data sources along with their contents already available in your IncQuery Cloud workspace - with direct links to the originating repositories for closer inspection. You can connect to multiple repositories and data sources, discover version history and extract data to build your workspace.
Additionally, it allows IT administrators to interact with access control and security aspects of the deployment, using a built-in KeyCloak facility. All IncQuery Cloud solutions support single-sign-on authentication through an organization identity (through OpenID Connect, OAuth, LDAP, Azure AD, GitHub, and many more). IncQuery Cloud supports fine-grained role-based access control both for data (what you can see) and operations (what you can do). Finally, the Workspace Manager also comes with Jenkins templates that can be used to automate digital engineering workflows and schedule data extraction.
IncQuery Viewer provides a web-based overview of all of your data as represented in the knowledge graph. It lets you explore the contents of extracted data, including overall structure (tree view), details and diagrams, augmented with simple text-based search. You can navigate within and between compartments or to our other solutions to take further action - all from the comfort of your browser.
IncQuery Analyzer provides graph query (SPARQL, VQL) as well as full-text search (ElasticSearch) capabilities, with a deep integration with the popular Jupyter open-source data analytics environment. Powered by VIATRA, Amazon Neptune, and Elasticsearch, IncQuery Analyzer can execute both scoped and global search and query operations, which enables cross-silo consistency checking.
This functionality is available through a dedicated web app, as well as OpenAPI interfaces. Additionally, IncQuery Analyzer can also execute validation suites of IncQuery Validator.
Through the integration with Jupyter, you can easily incorporate query and validation results into notebooks, that can be further enriched by Python-based visualization components. Analyzer is shipped with a lot of examples and templates, making it easy to get started.
IncQuery Integrator provides Devops-ready stand-alone applications to facilitate automated data transfer between engineering tools, with full traceability.
With IncQuery Integrator, you can build automated bridges that can map engineering data and metadata across tool boundaries, with traceability support. IncQuery Integrator can utilize IncQuery Cloud connectors to interact with engineering data sources (e.g., Teamwork Cloud, file-based version control systems), and provides a pluggable transformation kernel that supports several mapping engines (Eclipse transformation stacks, including ATL, Epsilon, and VIATRA). All IncQuery Integrator-powered applications support stand-alone as well as CI/CD pipeline deployment, taking full advantage of integration capabilities provided by the Jenkins platform.
As a noteable example, the IncQuery AUTOSAR-UML Bridge was built using this technology.