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 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."
"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 is a really easy way to define all of the features that you need to deliver. You can link those features to epics and break them down into user stories. You can also assign the user stories into sprints for doing your product improvement planning."
"What I like most about Azure DevOps is how easy it is to manage projects and control deployments."
"Great project management feature and Git-based repository."
"The initial setup is very easy."
"The pricing seems to be reasonable."
"The most valuable feature is that we can run integrations with DevOps. From a QA perspective and a testing perspective, we can run those tests and integrate automation tools. Then we can run those tests as part of the deployment process. Every time we are deploying something, it automatically runs all the tests."
"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."
"I found the Kanban board to be the most useful for my needs."
"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."
"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."
"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."
"When we don't have some permissions, we have to research how to get them."
"Reporting across multiple projects could be improved."
"In comparison to JIRA, I believe DevOps has very poor reporting and metrics support."
"There are certain areas in Azure DevOps that are better in other products."
"As for improvement, the first one is pricing. For us, luckily because we are partners, it's free. Microsoft gold partners do not have to pay, but if you're not a partner, the product is very expensive."
"The functions have too much dependency right now, so it makes it really, really hard to upgrade and make a change in the code."
"When comparing with Jira, I find that the task management capabilities in Azure DevOps are not yet fully comprehensive and should be enhanced."
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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