We performed a comparison between Digital.ai Deploy and Microsoft Azure DevOps based on real PeerSpot user reviews.
Find out in this report how the two Release Automation solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The solution creates a manifest file that caps the bridge between the developer and the system admin."
"The solution's most valuable aspect is that it is vendor-agnostic and it has a file called Manifest, which makes it possible for developers, ops people, and system admins to cooperate."
"This product is an innovative market leader in the field of application deployment."
"Fields can be customized and the reporting is good."
"Valuable features for project management and tracking in Azure DevOps include a portal displaying test results, check-in/check-out activity, and developer/tester productivity."
"This is an all-in-one, one-stop shop, nothing comes close."
"Detailed logs allow us to pinpoint the exact cause of any issues, making troubleshooting efficient and accurate."
"The most valuable feature is automation with version control."
"You get a complete solution with Azure DevOps. You can do everything in one place, starting from requirement gathering until you release the product. It is a reliable, scalable, and handy product."
"The build and release management features are valuable."
"The most valuable feature in automating our build and release processes with Azure DevOps is the scheduling capability."
"While it is a flexible product and provides a means of integrating with virtually anything, the company should make a better effort to keep up with new platform integrations."
"The solution currently has a bug that causes performance issues. They need to resolve this in a future release."
"The tool needs to improve on cloud-native GitOps."
"The solution's roadmap and Gantt charts could be improved."
"With Microsoft, I would prefer to have more test plans. It's very difficult to find individual test plan module training."
"If they could build up requirement traceability metrics, then it would be great."
"With the query feature, we have to group items, so it becomes difficult for everyone to understand it. It's easier in JIRA, which has filters and other query options."
"The UI could be improved."
"When you compare with Jira, there is a lack of progress features."
"One potential enhancement in Azure DevOps could be integrating more customizable reporting features, particularly for Power BI integration."
"Some of the queries, the way they're built, need to be looked at. We need better query tools."
Digital.ai Deploy is ranked 13th in Release Automation with 11 reviews while Microsoft Azure DevOps is ranked 1st in Release Automation with 127 reviews. Digital.ai Deploy is rated 7.4, while Microsoft Azure DevOps is rated 8.2. The top reviewer of Digital.ai Deploy writes "Besides for the flash GUI which is a pain, it includes all of the features we were looking for". On the other hand, the top reviewer of Microsoft Azure DevOps writes "Allows us to deploy code to production without releasing certain features immediately and agile project management capabilities offer resource-leveling". Digital.ai Deploy is most compared with Red Hat Ansible Automation Platform and Digital.ai Release , whereas Microsoft Azure DevOps is most compared with GitLab, Jira, TFS, Rally Software and ServiceNow Strategic Portfolio Management. See our Digital.ai Deploy vs. Microsoft Azure DevOps report.
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