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."
"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 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."
"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"My team likes the integration that Microsoft Azure DevOps has with GitHub and Microsoft Teams. The solution is well integrated with other Microsoft tools in one place, it is very good."
"The user interface is very friendly."
"It's graphical representation and tools are easy to use."
"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."
"The product is easy to use and very stable."
"The features that have a significant impact on us include CI/CD, where we have full integration with the source code repository and Azure Pipelines."
"The reports have been most valuable. We have created some dashboards allowing us to be able to check our teams, their progress, and mission plans."
"The most valuable feature is automation with version control."
"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."
"Improve how to create and track releases. Currently, I have to create child projects."
"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."
"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."
"I would like to see new features added."
"It would be great if I could integrate with a human resource type of software that could control timesheets."
"The optimization feature in Microsoft Azure DevOps needs improvement. Control over multiple projects could also be improved."
"I think that the integration is to some extent, immature."
"We did have some brief performance issues, however, that was due to putting everything on one epic instead of breaking a project up."
"We are currently in the process of moving all of our on-prem to the cloud platform. We are trying to make that move and host the majority of our DevOps services in the cloud because the cloud is where most of the things are going nowadays. However, the process of this transfer is not straightforward, and it could be a lot easier. Microsoft hasn't provided the maturity for migration tools. It could be a lot easier in that respect. I want to see them continue to advance the API capabilities. They could add some more robust functionality to the administrative layer within ADO services. There are a lot of configuration elements that you need to take care of at the organization level and the project configuration level from an administrative capacity. When you're dealing with process templates and things of that nature, you have to do them all manually. Being able to automate some of that using scripts or API functionality would be really nice."
"The documentation isn't straightforward."
"I would like to see better interoperability with the agile scaling frameworks."
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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