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."
"It is good for the purpose it is designed for. It is good for maintaining a repository of application code, creating pipelines for deploying the code, building the code, and deploying the code. It can be easily used by developers. There are no issues."
"The most valuable feature is that it brings order to our projects, and we know the status of each one at every moment."
"I like the entire tool because it is a one-stop-solution for DevOps."
"I found the Kanban board to be the most useful for my needs."
"Overall, so far we have no major issues to report."
"What I like the most about this product is that it's free and it's secure."
"The most valuable features of this solution are the CI/CD pipeline, and the testing automation."
"The build and release management features are valuable."
"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."
"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."
"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."
"It should have security features for scanning the code and checking it for vulnerability and security. Currently, I am using other tools for this. It should also have integration with other tools to improve security."
"The price could be lowered. It would be nice if it was cheaper."
"Microsoft Azure DevOps could improve by having better integration with other email servers."
"There is room for improvement on the UI side, especially with merge requests. If we compare Azure DevOps to GitLab when it comes to branches and PRs (pull requests), GitLab has a better interface."
"When converting to DevOps, it was difficult to map."
"Reporting across multiple projects could be improved."
"Right now, they tend to have a limit of 1,000 tasks per sprint, and some of their web-based boards, such as the Kanban boards, no longer display tasks. Once you hit over a certain number of task limits, you need to increase those limits."
"It is not that intuitive. Sometimes, it is hard to find some of the functions. I would like to have an old-fashioned menu structure to be able to easily find things. Its environment setup is not very good. They should improve the way it is set up for different screens and make it easier to find functionalities and maintain team members."
Digital.ai Release is ranked 10th in Release Automation with 4 reviews while Microsoft Azure DevOps is ranked 1st in Release Automation with 127 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 "Allows us to deploy code to production without releasing certain features immediately and agile project management capabilities offer resource-leveling". 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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