Digital.ai Agility (formerly VersionOne) helps organizations harness the power of their people’s knowledge, processes, and technology to build agile practices that scale across the enterprise. Its capabilities enable organizations to align products and investments with strategic business goals by coordinating planning, tracking, and reporting work across large distributed companies. Digital.ai Agility connects business strategy with team execution, providing a unified view at all levels,…
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Git
Score 10.0 out of 10
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Pricing
Digital.ai Agility
Git
Editions & Modules
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Pricing Offerings
Digital.ai Agility
Git
Free Trial
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Free/Freemium Version
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Premium Consulting/Integration Services
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Entry-level Setup Fee
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Community Pulse
Digital.ai Agility
Git
Features
Digital.ai Agility
Git
Project Management
Comparison of Project Management features of Product A and Product B
Digital.ai Agility
6.3
1 Ratings
17% below category average
Git
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Ratings
Task Management
10.01 Ratings
00 Ratings
Support for Agile Methodology
10.01 Ratings
00 Ratings
Document Management
3.01 Ratings
00 Ratings
Email integration
2.01 Ratings
00 Ratings
Mobile Access
5.01 Ratings
00 Ratings
Search
8.01 Ratings
00 Ratings
Agile Development
Comparison of Agile Development features of Product A and Product B
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
Scenarios where it works well: 1) Retros can be very well facilitated & notes/action items can be captured against the sprint. 2) Product Owner can effectively track the story progress with all the test-cases, design etc. 3) Being good scaling support, it provides good visibility across multiple teams, programs and agile portfolios, providing a centralized environment where all our stakeholders can easily work together regardless of location. 4) It provides easy tracking all of your epics, stories, themes, defects, tasks, tests and issues 5) I like its intuitive UI as for moving stories around, burning hours. 6) It allows top leadership to visualize and report their strategic plans, giving all stakeholders the relevant data that they need to stay dedicated to the project priorities. 7) It can be easily integrated with slack so for few teams we used slack for collaboration Scenarios where it did not work well: 1) Test Management need improvement in terms of tracking tests, team had hard time tracking regression test cases. 2) Version one comes with lot of features like Rally but here we don’t get customizations which is there in Jira where from workflow to issue everything can be customized based on your team/program/portfolio requirements. 3) Lot of navigation to access basic stuff. Example I want to go to bug attachment , there are lt of clicks & navigation need to do which should be pretty straightforward I feel.
GIT is good to be used for faster and high availability operations during code release cycle. Git provides a complete replica of the repository on the developer's local system which is why every developer will have complete repository available for quick access on his system and they can merge the specific branches that they have worked on back to the centralized repository. The limitations with GIT are seen when checking in large files.
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
Although Digital.ai Agility supports customizations, they can be somewhat cumbersome to set up and maintain
The Analytics engine's user experience for digging into the data does not have the same feel as the rest of the system and, as a result, can be hard to work with
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
No answers on this topic
Open Source
Git has met all standards for a source control tool and even exceeded those standards. Git is so integrated with our work that I can't imagine a day without it.
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
VersionOne provides outstanding training. They have Product Owner training that I recommend every Product Owner attend. They have scrum master training and other agile training that was well worth the money paid because it made the teams more productive. And the support for the tool is incredible. These people live and breathe Agile and are evangelists and enthusiasts.
I am not sure what the official Git support channels are like as I have never needed to use any official support. Because Git is so popular among all developers now, it is pretty easy to find the answer to almost any Git question with a quick Google search. I've never had trouble finding what I'm looking for.
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
JIRA appears to be more extensible with the ability for Scrum, Kanban, bug/incident tracking, and the ability to customize dashboards. However, VersionOne's performance over the same teams is extremely fast in comparison and therefore allows users to be more productive over the same amount of time.
I've used both Apache Subversion & Git over the years and have maintained my allegiance to Git. Git is not objectively better than Subversion. It's different. The key difference is that it is decentralized. With Subversion, you have a problem here: The SVN Repository may be in a location you can't reach (behind a VPN, intranet - etc), you cannot commit. If you want to make a copy of your code, you have to literally copy/paste it. With Git, you do not have this problem. Your local copy is a repository, and you can commit to it and get all benefits of source control. When you regain connectivity to the main repository, you can commit against it. Another thing for consideration is that Git tracks content rather than files. Branches are lightweight and merging is easy, and I mean really easy. It's distributed, basically every repository is a branch. It's much easier to develop concurrently and collaboratively than with Subversion, in my opinion. It also makes offline development possible. It doesn't impose any workflow, as seen on the above linked website, there are many workflows possible with Git. A Subversion-style workflow is easily mimicked.
Git has saved our organization countless hours having to manually trace code to a breaking change or manage conflicting changes. It has no equal when it comes to scalability or manageability.
Git has allowed our engineering team to build code reviews into its workflow by preventing a developer from approving or merging in their own code; instead, all proposed changes are reviewed by another engineer to assess the impact of the code and whether or not it should be merged in first. This greatly reduces the likelihood of breaking changes getting into production.
Git has at times created some confusion among developers about what to do if they accidentally commit a change they decide later they want to roll back. There are multiple ways to address this problem and the best available option may not be obvious in all cases.