We performed a comparison between AWS CodePipeline and Digital.ai Release based on real PeerSpot user reviews.
Find out in this report how the two Build Automation solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."AWS CodePipeline offers multiple integrations and it has its own set of features in the area of code scanning and dynamic code testing."
"I find performance to be the most valuable CodePipeline feature. It works perfectly and smoothly."
"It helps develop CI/CD implementations with centralized management of code building, deployment, and version control."
"The integration with other applications is fabulous."
"The tool's recent version helps us to run pipelines in parallel. The integration with other AWS services has greatly impacted our use of AWS CodePipeline. It made tasks such as integrating with Jira and provisioning instances much easier."
"The integrations are good."
"In AWS, the Cloud DevOps is a managed service from CodeCommit and this has removed the need for a lot of manual steps."
"AWS CodePipeline has valuable integration features."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"The solution can apply one template across multiple applications."
"The most valuable feature of Digital.ai Release is its ability to communicate with various deployment systems, such as XLD and batch deployments, as well as integrate with tools, such as Flyway and Bamboo. We use Bamboo as our build orchestrator, and Digital.ai Release also integrates with Jira, another Atlassian solution. These capabilities make it a powerful tool for managing workflow, test automation, and other processes."
"If you're talking about multi-cloud, you can't use it."
"The support team’s response time must be improved."
"The solution could improve the documentation. Sometimes we have some issues with the documentation not updating after releasing .NET 6. We had some issues with building the code pipeline, and it was not updating the documentation. It's better to update the code documentation."
"The setup time is a bit long."
"AWS CodePipeline functions well, but there's room for improvement in providing technical support to regular customers who haven't purchased developer support. I mean, having it available for everyone, even if it's not a 24-hour service. It would be more useful if specific support hours were available for assistance."
"It would be a much better tool if it could be made compatible with other cloud services as well since this is an area the product currently lacks."
"There could be a possibility of deploying tag-based conditions for different environments using the same code base."
"AWS CodePipeline doesn't offer much room for customization."
"The backfill could be improved, we could automate that. Right now it's subjective — it's up to the lead developer's memory to remember to backfill."
"Digital.ai Release could improve by having a better plugin that works with Guardian that we use for mainframe migrations. If there could be an interface or plugin for Guardian that would be beneficial."
"The solution is a little bit expensive."
AWS CodePipeline is ranked 4th in Build Automation with 13 reviews while Digital.ai Release is ranked 10th in Build Automation with 3 reviews. AWS CodePipeline is rated 8.4, while Digital.ai Release is rated 8.6. The top reviewer of AWS CodePipeline writes "A fully managed service with excellent integrations and a flexible architecture". On the other hand, the top reviewer of Digital.ai Release writes "Effectively automates deployments and applies one template across applications". AWS CodePipeline is most compared with GitLab, AWS CodeStar, Jenkins, GitHub Actions and Tekton, whereas Digital.ai Release is most compared with Jenkins, Microsoft Azure DevOps, Bamboo, IBM Rational Build Forge and Digital.ai Deploy. See our AWS CodePipeline vs. Digital.ai Release report.
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