We performed a comparison between Digital.ai Agility and Microsoft Azure DevOps based on real PeerSpot user reviews.
Find out in this report how the two Application Lifecycle Management (ALM) Suites solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."For visualization capabilities, the automation capabilities make it possible to support the different personas. The features and capabilities are excellent and come with excellent support."
"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"Agility is highly flexible. It can do much more than what our client is doing with it. They use it in a defined way. Some at that company have a much broader knowledge of agile and SAFe, but they're given applications and a mandated way to work. We had to work within their parameters and provide an accurate transition so the data would be mapped and pushed through."
"With some of the other tools, you have to buy 20 different plugins to get to the same capability that comes with the basic Agility capability."
"It allows my clients to have one central tool to manage their agile projects."
"The most valuable features of this solution are the CI/CD pipeline, and the testing automation."
"The work items option is incredibly flexible."
"Version control practices have been perfect for us. It maintains a detailed history and is integrated with GitHub, which is also a Microsoft product. It is quite a game-changer."
"Our technical sales staff and business development people need to know how far the developers are on any product that we're developing. DevOps makes it easier for you to see how far along they are with the work because they have a repository where they store everything. There is a portal where you can see what has been done, what has been tested, what is working, and what isn't. I have a huge dashboard with an overview of what the development team is doing from an executive point of view."
"Typically the sprints themselves and managing the tasks have essentially eliminated our need for reporting."
"Some of the valuable features are the functionality and the wide range of capabilities."
"Everything that's related to the pipeline has been very good."
"The one thing that really stands out to me is how you can filter and how you can do your reporting and filter the tasks and everything by user."
"The machine learning features are a new capability but could be improved. This is being worked by Digital.ai currently. Multicolor simulation, specifically, could be improved."
"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."
"The user interface can be improved by adding Save, Edit, Add, Cancel, and Return buttons to the popup windows that are displayed when you click on a child item."
"In my work as a contractor, it's always frustrating when a client has multiple software applications that don't talk to each other and they all perform the same function. That presents a huge challenge between their IT groups."
"Improve how to create and track releases. Currently, I have to create child projects."
"I'd like to have something better for the test plan."
"I have not been able to use the integration with automation features, such as test management automation, with a framework that is written in Java."
"Azure DevOps could be improved with more security plugins, especially for SaaS scanning and vulnerability scans."
"It would be very useful if it had better integration with Microsoft Word because we would like to be able to define the priority requirement document and add it to different stages of the backlog."
"When we don't have some permissions, we have to research how to get them."
"Microsoft could focus on refining the reporting and dashboard elements of Azure DevOps to improve it."
"There is only one key area of improvement for me. The new imaging thing is that there is DevOps, where security is important because it is always lasting. So, to integrate security in our DevOps, that would be nice."
"The communication could work better, especially for the development team."
Digital.ai Agility is ranked 12th in Application Lifecycle Management (ALM) Suites with 5 reviews while Microsoft Azure DevOps is ranked 2nd in Application Lifecycle Management (ALM) Suites with 127 reviews. Digital.ai Agility is rated 9.0, while Microsoft Azure DevOps is rated 8.2. The top reviewer of Digital.ai Agility writes " A scalable, full-package solution with a tech support team that bends over backwards to help". 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 Agility is most compared with Jira, Jira Align, Rally Software, Chef and TFS, whereas Microsoft Azure DevOps is most compared with GitLab, Jira, TFS, Rally Software and ServiceNow Strategic Portfolio Management. See our Digital.ai Agility vs. Microsoft Azure DevOps report.
See our list of best Application Lifecycle Management (ALM) Suites vendors, best Release Automation vendors, and best Enterprise Agile Planning Tools vendors.
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