Digital.ai Release vs. IBM DevOps Deploy

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Digital.ai Release
Score 8.8 out of 10
N/A
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…N/A
IBM DevOps Deploy
Score 8.8 out of 10
N/A
A solution for continuous delivery of any application to any environment, and an application-release solution that infuses automation into the continuous delivery and continuous deployment (CI/CD) process and provides robust visibility, traceability and auditing capabilities.N/A
Pricing
Digital.ai ReleaseIBM DevOps Deploy
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Digital.ai ReleaseIBM DevOps Deploy
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Digital.ai ReleaseIBM DevOps Deploy
Top Pros
Top Cons

No answers on this topic

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User Ratings
Digital.ai ReleaseIBM DevOps Deploy
Likelihood to Recommend
9.0
(2 ratings)
8.0
(1 ratings)
Usability
9.0
(1 ratings)
-
(0 ratings)
Support Rating
4.0
(1 ratings)
8.0
(1 ratings)
User Testimonials
Digital.ai ReleaseIBM DevOps Deploy
Likelihood to Recommend
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.
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IBM
IBM UrbanCode Deploy is excellent for code deployments such as Java, .Net, C++, etc. It can also deploy and run SQLs reasonably well. Where it lacks is the ability for executables, Jars, WARs, EARs, etc.
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Pros
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
  • Cross-team release workflow control using email, texts, scripts allow our release management to be truly a 360 process.
  • XL Release allowing our Jenkins toolchain to control the beginning of release trains which is very powerful.
  • XL release allows us to expose the business process flow for anyone to read direct at the source which runs the process instead of a separate vision.
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IBM
  • Consistently deploys to multiple environments with no changes to the process. Having reusable processes across environments from Dev to Production make deployments more consistent and easier to manage.
  • IBM UrbanCode Deploy has an easy to understand UI, to be able to review if a deployment has successfully completed or not, and details if it did not work. Using the UI is simple and easy to understand.
  • Scheduling and approvals are built-in as configured for the deployments. This allows us to use the same deployment process, but get approvals as needed when code is moved up to the upper environments.
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Cons
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
  • Pagination of data - across tool.
  • User Roles Management API can be improved.
  • Case insensitive ID's are treated differently making user face login and access issues.
  • Dependency on Universal template/custom plugins creation should be reduced.
  • Code versioning of templates is very difficult.
  • Better error handling.
  • Futures Timeout Issues.
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IBM
  • IBM UrbanCode Deploy does code deployments easy enough, but configurations or ex deployments are a little more complicated. I work on packaged systems, so most of the code I get is form a vendor that I have to deploy.
  • IBM UebanCode Deploy integration into the mainframe world would be ideal. My company uses Mainframe and OpenSystems technologies, and many times there are dependencies between the deployments.
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Usability
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.
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IBM
No answers on this topic
Support Rating
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.
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IBM
I've not worked directly with IBM UrbanCode Deploy support. My DevOps team administers the environment and deals with that.
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Alternatives Considered
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.
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IBM
No answers on this topic
Return on Investment
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
  • XL release has improved our consistency of release process, removing multiple days worth of manual status checking and coordination.
  • XL release has allowed us to increase the number of beta releases we can support due to simplifying our release actions.
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IBM
  • IBM UrbanCode Deploy has had a positive impact on making deployments much easier and quicker to do. Downtime for a system is greatly reduced and deployments go much smoother as the processes are complete repeatable and not manual.
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