We performed a comparison between Automic Continuous Delivery Automation and Digital.ai Deploy based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, GitLab, Red Hat and others in Release Automation."Gives people insight into what's happening during the deployment."
"Self-service for developers, because they are able to deploy to development departments on their own, without needing people from operations."
"The capability to provide visibility to the stakeholders, to management, is the biggest piece that showcases what the solution is about."
"The event monitor is very good. You can monitor when the file is created so you can pick up the file once it's done."
"Deployment workflow (WF) can be designed this way, so that it is not necessary to provide all applications (systems) artifacts of which an application consists."
"The most valuable feature is the ability to see which problems have been resolved from deployment."
"You can design your workflows for your needs."
"It provides a wonderful user interface which is easy to use."
"This product is an innovative market leader in the field of application deployment."
"The solution creates a manifest file that caps the bridge between the developer and the system admin."
"The solution's most valuable aspect is that it is vendor-agnostic and it has a file called Manifest, which makes it possible for developers, ops people, and system admins to cooperate."
"There is an issue with the stability in the tool. The process of agent will stop, then the monitoring agent can't be recognized because the process is running, but you can talk with the system."
"I would like to see more support for WebSphere."
"We hope that we can integrate the new CD Directive into our portfolio, so we can bring the deployment and release management closer together."
"At the moment, the version that we are using (version 12.0), the environment is complex with multiple installations. Therefore, the monitoring is not scalable, but this should be improved in 12.1 and 12.2."
"There needs to be better error handling and error descriptions. It should be more clear what the errors are and what we can do to fix them."
"If you have a technical problem and need development of the tool, the support team is terrible, because they cannot help with the technical details."
"key thing is support for cloud-based deployment. That is lacking."
"The stability of the solution can be improved."
"The tool needs to improve on cloud-native GitOps."
"While it is a flexible product and provides a means of integrating with virtually anything, the company should make a better effort to keep up with new platform integrations."
"The solution currently has a bug that causes performance issues. They need to resolve this in a future release."
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Automic Continuous Delivery Automation is ranked 17th in Release Automation while Digital.ai Deploy is ranked 14th in Release Automation with 11 reviews. Automic Continuous Delivery Automation is rated 8.0, while Digital.ai Deploy is rated 7.4. The top reviewer of Automic Continuous Delivery Automation writes "Reduces our time to market considerably with automated and consistent results". On the other hand, the top reviewer of Digital.ai Deploy writes "Besides for the flash GUI which is a pain, it includes all of the features we were looking for". Automic Continuous Delivery Automation is most compared with UrbanCode Deploy, Nolio Release Automation and Microsoft Azure DevOps, whereas Digital.ai Deploy is most compared with Microsoft Azure DevOps, Red Hat Ansible Automation Platform, GitLab and Digital.ai Release .
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