We performed a comparison between AWS CodeDeploy and Digital.ai Release based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, GitLab, Red Hat and others in Release Automation."I found the default settings of AWS CodeDeploy to be highly beneficial for my deployment workflows. For instance, when deploying a Node.js application, I manually installed the necessary components on my AWS instance, such as the web server required by developers. Then, I created deployment scripts for starting and stopping instances and performing the deployment itself. These scripts were stored alongside my code in GitHub, ensuring they executed seamlessly with the CI/CD pipeline. Since the project wasn't overly complex, I opted for the default settings, which proved to be efficient and straightforward for deployment."
"It's just like every other AWS resource I use. It gets the job done."
"It is very flexible."
"The product is easy to use."
"AWS CodeDeploy operates on an on-demand basis. This means that you only pay for the exact duration of the deployment process. Whether it takes one minute, two minutes, or even longer, you're only charged for the time it takes to complete the deployment. You're not locked into paying for dedicated servers."
"The product's initial setup phase is easy."
"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."
"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 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."
"I faced some stability issues."
"Improvements could be made to AWS CodeDeploy in terms of its agent's compatibility across different operating systems. Currently, there are instances where the agent may not work seamlessly with certain integrations, leading to issues with registering protocols on authorized servers."
"We have faced some issues and bugs along the way when it comes to stability."
"Deployment and stability should be improved."
"AWS CodeDeploy doesn't provide multiple plugins like Jenkins, which is a shortcoming where improvements are required."
"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."
"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 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."
AWS CodeDeploy is ranked 4th in Release Automation with 6 reviews while Digital.ai Release is ranked 9th in Release Automation with 4 reviews. AWS CodeDeploy is rated 8.6, while Digital.ai Release is rated 8.2. The top reviewer of AWS CodeDeploy writes "The default settings of AWS CodeDeploy are highly beneficial for my deployment workflows". On the other hand, the top reviewer of Digital.ai Release writes "Effectively automates deployments and applies one template across applications". AWS CodeDeploy is most compared with AWS Amplify, AWS CodeStar, Microsoft Azure DevOps, Octopus Deploy and Red Hat Ansible Automation Platform, whereas Digital.ai Release is most compared with Jenkins, Microsoft Azure DevOps, Bamboo, IBM Rational Build Forge and Digital.ai Deploy.
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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.
