We performed a comparison between AWS Amplify and Digital.ai Release based on real PeerSpot user reviews.
Find out in this report how the two Release Automation solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Typically, whenever we make changes and need to switch environments (e.g., dev to production), it's easy for our developers to maintain the state of each environment and make customizations as needed. They don't necessarily need to involve the cloud team for basic management."
"The most valuable feature of AWS Amplify is authentication."
"The link with Figma is very nice. You can create your design in Figma, and then you can import it into AWS Amplify and use it. You can link it to your data source and data bindings."
"The time is also reduced because the manual work has tremendously decreased. We just have to click one button, and it will create everything for us."
"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."
"AWS Amplify could improve in the deployment. It would be beneficial to have more methods, such as automation."
"Its capability to handle big projects needs to be improved. If you generate a user interface in Figma and import everything where all components are in one directory, currently, it is complicated. It isn't able to cope with that. For small projects, it is not an issue, but if you have big projects and you want to use AWS Amplify, then it gets more difficult. That is the most important point for me. It should be improved to cope better with bigger projects."
"AWS can implement multiple web applications, and cross-platform applications, like iOS."
"Currently, we put artifact details manually. What we could improve, in our case, is the deployment instruction base. Developers input all the information, including which artifact and where it needs to be deployed. What Digital.ai could do is automatically go to the deployment instruction page, take those artifact details, and implement them."
"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."
"The solution is a little bit expensive."
"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."
AWS Amplify is ranked 5th in Release Automation with 3 reviews while Digital.ai Release is ranked 9th in Release Automation with 4 reviews. AWS Amplify is rated 8.4, while Digital.ai Release is rated 8.2. The top reviewer of AWS Amplify writes "Amplify CLI acts as a single source of truth". On the other hand, the top reviewer of Digital.ai Release writes "Effectively automates deployments and applies one template across applications". AWS Amplify is most compared with AWS CodeDeploy, Microsoft Azure DevOps, AWS CodeStar, Ozone and GitLab, whereas Digital.ai Release is most compared with Jenkins, Microsoft Azure DevOps, Bamboo, IBM Rational Build Forge and Digital.ai Deploy. See our AWS Amplify vs. Digital.ai Release report.
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We monitor all Release Automation reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
