We performed a comparison between Digital.ai Release and Microsoft Azure DevOps based on real PeerSpot user reviews.
Find out in this report how the two Release Automation solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"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 solution can apply one template across multiple applications."
"All features are good. Pipelines feature is great, and Boards and Artifacts features are also really good. It is really good at what it does. It is very comprehensive, and it has some really great aspects to it. It is very easy. It is probably one of the easiest to use DevOps tools in the industry, and it is well integrated."
"I think the most usable thing is that you can follow the whole progress of the development process. This makes it very useful for us."
"The one thing that really stands out to me is how you can filter and how you can do your reporting and filter the tasks and everything by user."
"The most valuable features of this solution are the CI/CD pipeline, and the testing automation."
"It's very user-friendly, and the documentation is good. The most valuable feature is backlog item creation, where we pick features and other things. The burndown chart created for projects to be maintained by the development teams is also useful."
"Azure DevOps is complete and meets all of your expectations. You can develop your own plugins to customize it however you want, so it's highly flexible. We develop personalized plugins or use ones that other programmers create for the Azure Marketplace."
"Azure enables us to create a staging environment through to a production environment in an easier way and then get the code and run that."
"The most valuable feature of this solution is that it saves time."
"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."
"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."
"The solution is a little bit expensive."
"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."
"Its testing features are limited and can be improved a little more. They should provide more options from the testing and build perspective. Currently, we have to use a third-party product for testing. It would be great if it has more than one testing tool."
"It would be very useful if it had better integration with Microsoft Word because we would like to be able to define the priority requirement document and add it to different stages of the backlog."
"When you compare with Jira, there is a lack of progress features."
"I would like to automate notifications on sprint planning. When we are getting to the end of sprint planning, we would be automatically notified."
"I would like to see more customization available to the administrator."
"It should be able to handle the different types. There is ecosystems engineering, and there is software applications engineering. There is a need to bring these teams together, but the disciplines don't integrate very well, and so it won't work."
"Integration and plugins for other tools could better. Like if you want to integrate the DevOps with other tools that are in the market. This could be for the engineering tools to check code quality, application security tools, and DevOps dashboard tools."
"The user interface could be improved."
Digital.ai Release is ranked 10th in Release Automation with 4 reviews while Microsoft Azure DevOps is ranked 1st in Release Automation with 126 reviews. Digital.ai Release is rated 8.2, while Microsoft Azure DevOps is rated 8.2. The top reviewer of Digital.ai Release writes "Effectively automates deployments and applies one template across applications". On the other hand, the top reviewer of Microsoft Azure DevOps writes "Good support, helpful management capabilities, and great Kanban boards". Digital.ai Release is most compared with Jenkins, IBM Rational Build Forge, GitLab, Bamboo and Digital.ai Deploy, whereas Microsoft Azure DevOps is most compared with GitLab, Jira, TFS, Rally Software and ServiceNow Strategic Portfolio Management. See our Digital.ai Release vs. Microsoft Azure DevOps report.
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