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."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 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."
"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."
"Azure Port is considered the most valuable feature."
"If someone is considering developing and deploying the infrastructure in this solution, then using this tool is perfect because it's fully integrated with the pipelines and with a server core repository."
"I really like the Microsoft DevOps survey."
"The most valuable aspect of Azure DevOps for me is its robust version control functionality, which is critical for our workflow."
"The installation is straightforward. We can create a whole new organization in less than a day."
"I like the entire tool because it is a one-stop-solution for DevOps."
"They have been lately adding features to the services on a regular basis. Every two weeks, they are adding functionality to Azure DevOps Services to match it with what Azure DevOps Server or on-prem would offer. So, we continue to get more robust functionality. My favorite right now is that they are starting to open up the API availability within Azure DevOps Services. Another thing that I like about Azure DevOps is that you can use it with any of the products that are on the market. You can integrate it with Jenkins and other open-source products to complete that fully functional CI, CD, CT, CM, and CS pipeline. It continues to enhance."
"What I like the most about this product is that it's free and it's secure."
"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."
"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."
"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."
"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."
"It is very difficult to integrate the product with third-party tools."
"I would like to see better interoperability with the agile scaling frameworks."
"Microsoft could improve Visual Studio by making it easier to find the plugins you need to get your job done. Maybe they could implement an AI search instead of a simple tech search. Sometimes, people come up with a catchy name for something, and you don't know how it's spelled. For example, a developer might come up with a packet wizard and spell weird, like P-A-K-I-T."
"I think Azure DevOps could improve the traceability or business intelligence about the execution of DevOps processes."
"I think that the integration is to some extent, immature."
"While reporting in Azure DevOps is a robust capability, there's always room for enhancement, particularly in providing more granular reports."
"Requirements management is an area that can be improved."
"Right now, they tend to have a limit of 1,000 tasks per sprint, and some of their web-based boards, such as the Kanban boards, no longer display tasks. Once you hit over a certain number of task limits, you need to increase those limits."
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 126 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, 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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