We performed a comparison between Automic Continuous Delivery Director 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."Its extensive range of available connectors eliminates the need for manual code writing when implementing solutions, thus reducing coding efforts."
"CDD is primarily used for showing end users (managers, business teams, project managers, and release managers) what is happening with each release. The status and reporting features are very important. Automation reduces time to deploy. It also allows us to do more with releases and testing prior to production, better guaranteeing a smooth deployment."
"Its ability to automate release deployments, streamline release scope, and reduce the cost of and time for deployment."
"The second valuable aspect is its capability to drive external systems like deployment automation engines or to integrate with Agile Central."
"The most valuable feature for me is the fact that you can easily design a pipeline to promote applications from a development environment up to a production environment, and the team can become autonomous in designing those pipelines."
"The most valuable features of Automic Continuous Delivery Director are the UI, release planning, and tracking, and you can do your soft and hard freeze through CDP."
"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."
"This product is an innovative market leader in the field of application deployment."
"We have rolled out the SAFe model, but what we would like to have is better integration with Agile Central, for instance, or at least at the plugin level, where we would select only certain stories instead of many stories in the sprint."
"CDD and RA should be two modules in the same product. They do not automatically “talk” to each other. and they require endpoint definition."
"Reporting and dashboarding could be improved. Release pipelines should be creatable via templates as well as easily integrable/chained together. Visual navigation could also be improved when the pipelines become too large."
"Automic Continuous Delivery Director can improve the integrations. We have 25 but would like more."
"We would like to have a more user-friendly interface. It is already very friendly, but as soon as you start to have many applications with many tasks, the applications should be easier to manipulate on the screen."
"The product's development has been stopped. It focuses on maintaining existing products."
"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."
"The tool needs to improve on cloud-native GitOps."
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Automic Continuous Delivery Director is ranked 15th in Release Automation with 5 reviews while Digital.ai Deploy is ranked 14th in Release Automation with 11 reviews. Automic Continuous Delivery Director is rated 8.0, while Digital.ai Deploy is rated 7.4. The top reviewer of Automic Continuous Delivery Director writes "An automation solution to automate the entire release process but lacks development". 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 Director is most compared with , 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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