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."It allows my clients to have one central tool to manage their agile projects."
"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."
"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."
"The most valuable feature is automation with version control."
"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 installation is very straightforward."
"This is an all-in-one, one-stop shop, nothing comes close."
"The available Kanban board is the best feature for management decisions."
"It is good for the purpose it is designed for. It is good for maintaining a repository of application code, creating pipelines for deploying the code, building the code, and deploying the code. It can be easily used by developers. There are no issues."
"I like the tracking and that we can monitor our velocity."
"The most valuable aspect of Azure DevOps for me is its robust version control functionality, which is critical for our workflow."
"Improve how to create and track releases. Currently, I have to create child projects."
"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."
"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."
"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."
"If they could build up requirement traceability metrics, then it would be great."
"The test management section needs to be improved."
"There are some areas that need improvement such as tracking."
"One thing I would note is that it's hard to know what is included or not in the product. Especially when you begin to try and compare it to other solutions. When you go to a site like VersionOne, they tell you Azure DevOps doesn't have this or that, and when you go to Microsoft, it says VersionOne doesn't have this or that. They could do a better job of laying out exactly what is on offer so customers know going in exactly what they'll get."
"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."
"We did have some brief performance issues, however, that was due to putting everything on one epic instead of breaking a project up."
"They do very frequent releases, there's a complete change in UI kind of stuff. Sometimes it feels like they change it too often."
"They have to add more features such as schedules and more flexibility in the platform."
Digital.ai Agility is ranked 11th in Application Lifecycle Management (ALM) Suites with 3 reviews while Microsoft Azure DevOps is ranked 1st in Application Lifecycle Management (ALM) Suites with 23 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 "High level protection, scales well, but more customer feedback updates needed". 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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