We performed a comparison between Automic Continuous Delivery Automation and Digital.ai Release based on real PeerSpot user reviews.
Find out what your peers are saying about GitLab, Microsoft, Red Hat and others in Release Automation."It gives us good feedback on visualizations and on how our processes have progressed."
"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."
"It can support very complex environments and dependencies."
"I would say our headwind, or our time to market, is reduced considerably. We get more consistent results out of it, because you write one time and once it's automated you expect it to behave the same way every time. And it cut down a lot of re-work for us."
"It provides a wonderful user interface which is easy to use."
"I think on a day-to-day basis, it has increased the capacity to deploy. We don't have to wait for someone to do something."
"We have saved on our time costs and have seen more quality."
"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 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."
"The dashboard should allow you to see the current state of packages in each environment, not only on an individual application basis, but across the entire application platform."
"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."
"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."
"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."
"The stability of the solution can be improved."
"GUI for mobile phones: Availability to approve and start deployment through mobile phones."
"key thing is support for cloud-based deployment. That is lacking."
"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."
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Automic Continuous Delivery Automation is ranked 17th in Release Automation while Digital.ai Release is ranked 9th in Release Automation with 3 reviews. Automic Continuous Delivery Automation is rated 8.0, while Digital.ai Release is rated 8.6. 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 Release writes "Effectively automates deployments and applies one template across applications". Automic Continuous Delivery Automation is most compared with UrbanCode Deploy, Microsoft Azure DevOps, Nolio Release Automation and Qentelli, whereas Digital.ai Release is most compared with Jenkins, Microsoft Azure DevOps, GitLab, Digital.ai Deploy and IBM Rational Build Forge.
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