Best Engineering Software for Azure DevOps
View:
Compare the Top Engineering Software that integrates with Azure DevOps as of October 2026
Sort By:
This a list of Engineering software that integrates with Azure DevOps. Use the filters on the left to add additional filters for products that have integrations with Azure DevOps. View the products that work with Azure DevOps in the table below.
What is Engineering Software for Azure DevOps?
Engineering software is software used by engineers to design, analyze and manufacture various products. It includes a wide range of applications such as CAD/CAE software, analysis tools, optimization tools, and programming tools. Engineering software can be used for a variety of tasks such as designing mechanical parts, analyzing structural stability, simulating system performance, and optimizing product designs. These applications enable engineers to optimize their designs for cost reduction and increased efficiency. Compare and read user reviews of the best Engineering software for Azure DevOps currently available using the table below. This list is updated regularly.
-
1
Ivanti Neurons for IIoT
Ivanti
Ivanti Neurons for IIoT delivers enterprise-grade visibility and security management purpose-built for the operational technology environments that traditional IT tools were never designed to handle, manufacturing floors, industrial control systems, and critical infrastructure. Automated asset identification continuously discovers and inventories connected industrial devices across operational technology networks. This helps reduce the blind spots that can leave organizations exposed to operational disruptions, compliance failures, and unmanaged security risk. Real-time analytics and vulnerability assessment surface risks across the full device lifecycle, while network segmentation capabilities contain threats and prevent lateral movement without interrupting production workflows. A centralized management layer bridges the gap between IT and operational technology teams, providing a unified security posture across converging infrastructure. -
2
Trace.Space
Trace.Space
Trace.Space is an AI-native requirements and traceability platform designed to accelerate systems engineering and manage complexity across large-scale product development workflows. It enables teams to import requirements, tests, and change logs from multiple sources, such as PDFs, documents, Jira, Git, and APIs, and automatically organizes them into a centralized system. Using AI, it generates trace links, detects missing coverage, and flags inconsistencies across requirements, design artifacts, and testing layers, turning fragmented data into a connected, living graph. It continuously analyzes this trace graph to identify risks, broken links, and downstream impacts before they cause delays, helping teams remove blockers early in the development process. Trace.Space supports real-time collaboration, allowing teams to review, comment, and approve changes while maintaining full traceability of decisions and their impact across hardware, software, and systems engineering.
- Previous
- You're on page 1
- Next
