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 allows my clients to have one central tool to manage their agile projects."
"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"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."
"Provides us with user histories."
"Azure DevOps is effective for repository management and code collaboration. We can create branches, differentiate between code versions, save and review code later, get PR approvals, and more. All these features are valuable."
"What I like the most is the DevOps Boards. It's easy to create a hierarchical project structure, assign tasks to people, and to track their tasks."
"The nice thing about Visual Studio Code is that it's a modular design. So if you're working on a strange language that has a different syntax, you can just get a plugin that'll format your code for you based on the language it's in."
"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."
"The most valuable feature of the solution is task management."
"It is stable. I like Azure a lot. All our guys are Microsoft certified."
"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."
"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."
"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."
"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 solution should have fewer updates."
"The tutorials for building pipelines are an area that is a bit technical for a beginner."
"Definitely, there should be more integration between GitHub and Azure DevOps."
"Templates could be improved."
"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."
"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."
"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."
"Integration and plugins for other tools could better. Like if you want to integrate the DevOps with other tools that are in the market. This could be for the engineering tools to check code quality, application security tools, and DevOps dashboard tools."
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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