We performed a comparison between Digital.ai Agility and TFS 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."
"The most valuable feature of TFS is the central repository, and you can see what changes other developers did from which branch."
"The API for managing TFS programmatically is very powerful, you can listen on work items changes by TFS events."
"Work item management integration with source control."
"Some of the valuable features are version control and the ability to create different collections in terms of segregating the authorization for teams who connect to small projects."
"The initial setup is fairly easy."
"The most valuable features of TFS are bug reporting and its high performance."
"The most valuable feature is simplicity."
"The most valuable feature of TFS is integration."
"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."
"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."
"Since the TFS was an on-prem solution, the private network accessibility was restricted."
"The user interface could be improved to make it simpler and increase usability."
"I'd like to see some kind of visualization tool for TFS that would make life much easier."
"The dashboard needs more enhancements."
"They should have design patterns in TFS for the development team, and design patterns for the QA."
"The tool needs improvement in stability."
"Sometimes we feel that it need more CPU, and RAMs on TFS server, either we implemented the hardware with the product minimum requirements."
"Not all of the functionality, which is exposed by the command line interface (tf.exe) is available in the Visual Studio GUI."
Digital.ai Agility is ranked 11th in Application Lifecycle Management (ALM) Suites with 5 reviews while TFS is ranked 3rd in Application Lifecycle Management (ALM) Suites with 93 reviews. Digital.ai Agility is rated 9.0, while TFS is rated 8.0. 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 TFS writes "It is helpful for scheduled releases and enforcing rules, but it should be better at merging changes for multiple developers and retaining the historical information". Digital.ai Agility is most compared with Jira, Rally Software, Jira Align and Microsoft Azure DevOps, whereas TFS is most compared with Microsoft Azure DevOps, Jira, Rally Software, Visual Studio Test Professional and OpenText ALM / Quality Center. See our Digital.ai Agility vs. TFS report.
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