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."The most valuable feature is the ability to see which problems have been resolved from deployment."
"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."
"The capability to provide visibility to the stakeholders, to management, is the biggest piece that showcases what the solution is about."
"The main benefit is you can deploy everything with it."
"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."
"Gives people insight into what's happening during the deployment."
"We have saved on our time costs and have seen more quality."
"The IT process automation is the most valuable aspect of this solution."
"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."
"The solution creates a manifest file that caps the bridge between the developer and the system admin."
"This product is an innovative market leader in the field of application deployment."
"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."
"I would like to see more support for WebSphere."
"One of the biggest features I've been asked by my team to put in there is opening more scripting languages to be part of the platform. There is a little bit of a learning curve in learning how to code some of the workflows in Automic at this time. If widely used languages like Perl and Python were integrated, on top of what's already there, the proprietary language, it would make it easier to on-board new resources."
"key thing is support for cloud-based deployment. That is lacking."
"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."
"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."
"Not a perfect ten because the user interface is brand new and it needs improvement."
"It would be very beneficial for us to see integrations into cloud environments, especially into the Google Cloud environment because we are heading towards cloud."
"The solution currently has a bug that causes performance issues. They need to resolve this in a future release."
"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 tool needs to improve on cloud-native GitOps."
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Earn 20 points
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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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.
