AWS CodePipeline vs. Digital.ai Release

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS CodePipeline
Score 9.2 out of 10
N/A
AWS CodePipeline is a fully managed continuous delivery service that helps users automate release pipelines for fast, reliable application and infrastructure updates. CodePipeline automates the build, test, and deploy phases of the release process every time there is a code change, based on the release model a user defines. This is to enable rapid, reliable delivery of features and updates. Users can integrate AWS CodePipeline with third-party services such as GitHub or with a custom plugin. AWS…
$1
per active pipeline/per month
Digital.ai Release
Score 8.7 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
Pricing
AWS CodePipelineDigital.ai Release
Editions & Modules
AWS CodePipeline
$1
per active pipeline/per month
Free Tier
Free
No answers on this topic
Offerings
Pricing Offerings
AWS CodePipelineDigital.ai Release
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AWS CodePipelineDigital.ai Release
Top Pros
Top Cons
Best Alternatives
AWS CodePipelineDigital.ai Release
Small Businesses
GitLab
GitLab
Score 8.9 out of 10
GitLab
GitLab
Score 8.9 out of 10
Medium-sized Companies
Ansible
Ansible
Score 9.0 out of 10
AWS CodePipeline
AWS CodePipeline
Score 9.2 out of 10
Enterprises
Ansible
Ansible
Score 9.0 out of 10
AWS CodePipeline
AWS CodePipeline
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS CodePipelineDigital.ai Release
Likelihood to Recommend
9.0
(8 ratings)
9.0
(2 ratings)
Usability
9.0
(1 ratings)
9.0
(1 ratings)
Performance
6.8
(2 ratings)
-
(0 ratings)
Support Rating
9.1
(2 ratings)
4.0
(1 ratings)
Ease of integration
7.4
(2 ratings)
-
(0 ratings)
User Testimonials
AWS CodePipelineDigital.ai Release
Likelihood to Recommend
Amazon AWS
I think AWS CodePipeline is a great tool for anyone wanted automated deployments in a multi-server/container AWS environment. AWS also offers services like Elastic Beanstalk that provide a more managed hosting & deployment experience. CodePipeline is a good middle ground with solid, built-in automation with enough customizability to not lock people into one deployment or architecture philosophy.
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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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Pros
Amazon AWS
  • It is reliable and works without errors
  • It integrates well with our repository and all other AWS functions as well as our end database
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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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Cons
Amazon AWS
  • Ease of use - things like CircleCI or other tools are a bit easier to learn.
  • Ability to build from more sources.
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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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Usability
Amazon AWS
Overall, I give AWS Codepipeline a 9 because it gets the job done and I can't complain much about the web interface as much of the action is taking place behind the scenes on the terminal locally or via Amazon's infrastructure anyway. It would be nicer to have a better flowing and visualizable web interface, however.
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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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Performance
Amazon AWS
Our pipeline takes about 30 minutes to run through. Although this time depends on the applications you are using on either end, I feel that it is a reasonable time to make upgrades and updates to our system as it is not an every day push.
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Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
No answers on this topic
Support Rating
Amazon AWS
We didn't need a lot of support with AWS CodePipeline as it was pretty straightforward to configure and use, but where we ran into problems, the AWS community was able to help. AWS support agents were also helpful in resolving some of the minor issues we encountered, which we could not find a solution elsewhere.
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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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Alternatives Considered
Amazon AWS
CodeCommit and CodeDeploy can be used with CodePipeline so it’s not really fair to stack them against each other as they can be quite the compliment. The same goes for Beanstalk, which is often used as a deployment target in relation to CodePipeline.

CodePipeline fulfills the CI/CD duty, where the other services do not focus on that specific function. They are supplements, not replacements. CodePipeline will detect the updated code and handle deploying it to the actual instance via Beanstalk.

Jenkins is open source and not a native AWS service, that is its primary differentiator. Jenkins can also be used as a supplement to CodePipeline.
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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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Return on Investment
Amazon AWS
  • CodePipeline has reduced ongoing devops costs for my clients, especially around deployment & testing.
  • CodePipeline has sped up development workflow by making the deployment process automated off git pushes. Deployment takes very little coordination as the system will just trigger based on what is the latest commit in a branch.
  • CodePipeline offered a lot of out-of-the-box functionality that was much simpler to setup than a dedicated CI server. It allowed the deployment process to built and put into production with much less and effort and cost compared to rolling the functionality manually.
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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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