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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Digital.ai Release
Score 8.7 out of 10
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Digital.ai Release, formerly XebiaLabs XL Release, is a release management tool designed for enterprises that enables users to control and track releases, standardize processes, and bake compliance and security into software release pipelines. As a release orchestration tool, Digital.ai Release works specifically for continuous delivery, and enables teams across an organization to model and monitor releases, automate tasks within IT infrastructure, in order to cut release times and improve…
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Pricing
Digital.ai Agility
Digital.ai Release
Editions & Modules
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Offerings
Pricing Offerings
Digital.ai Agility
Digital.ai Release
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Digital.ai Agility
Digital.ai Release
Features
Digital.ai Agility
Digital.ai Release
Project Management
Comparison of Project Management features of Product A and Product B
Digital.ai Agility
6.3
1 Ratings
18% below category average
Digital.ai Release
-
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.
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
Mainly used in release management where all deployments are well managed and processed further based on the approval system. Complete enterprise-level solution with minor difficulties which need to be added to product improvement features. Integration with other CI-CD tools makes it easier to perform tasks in terms of release and deployments.
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
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
The tool is easy to use, easy to navigate and learn. Manages releases with proper approvals in a systematic manner. Though it needs minor improvements in terms of pagination (data loading), access management, but, overall the tool helps in increasing productivity and less time for production deployments.
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.
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
Support is not good at all. To this day, I have to mail my queries and their support site does not log in for me (me alone). But, upon contacting many times, no one helps with a proper response. Though good thing is, I get a proper response over mail too. But, being informative about the tool and not on the issues faced by users outside of the process to get support should also be addressed equally. Which is currently missing in support.
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.
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
XL release is simpler to configure and deploy to the organization than other change management platforms I have used. That simplicity has minor drawbacks requiring you to fit into a limited set of control methods but that exercise helped us simplify a needlessly onerous process.