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."
"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 can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"It allows my clients to have one central tool to manage their agile projects."
"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."
"It is stable, and we have had no issues with it."
"The solution is scalable."
"The installation is very straightforward."
"The build and release management features are valuable."
"Microsoft Azure DevOps integrates well with other components, such as Synapse, which is a data warehouse tool of Azure. It is a framework platform for BI and integrated with other tools, such as Power BI."
"Overall, so far we have no major issues to report."
"Before using this solution, we had to deploy our applications, from pre-production to production, manually."
"Azure is an advantage when working with other Microsoft solutions."
"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."
"Improve how to create and track releases. Currently, I have to create child projects."
"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."
"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."
"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."
"Azure DevOps could be improved with more security plugins, especially for SaaS scanning and vulnerability scans."
"The solution could work to improve their reporting."
"The solution's roadmap and Gantt charts could be improved."
"The functions have too much dependency right now, so it makes it really, really hard to upgrade and make a change in the code."
"The main issue that I have is the connection speed. Sometimes, the response is too slow. I am based in Taiwan, and I am not sure if it is because of broadband or something else. Its initial configuration is also a little bit difficult."
"When converting to DevOps, it was difficult to map."
"As for room for improvement, more features need to be added to the classic pipeline. The build and release pipelines are present, but there has not been much improvement there."
"The solution could be made faster because it can be a little unnerving to browse through too many pages and press too many buttons."
Digital.ai Agility is ranked 11th in Application Lifecycle Management (ALM) Suites with 5 reviews while Microsoft Azure DevOps is ranked 1st in Application Lifecycle Management (ALM) Suites with 124 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 "Good support, helpful management capabilities, and great Kanban boards". Digital.ai Agility is most compared with Jira, Rally Software, Jira Align, 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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