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 solution can apply one template across multiple applications."
"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 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 orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"In Microsoft Azure DevOps, you have a one shop to get everything."
"It is stable, and we have had no issues with it."
"There are great automation tools."
"The installation is straightforward. We can create a whole new organization in less than a day."
"The pricing seems to be reasonable."
"All of the features related to release management are very good."
"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 DevOps' collaborative features are good, and it integrates well with other tools in the software development process, like quality testing, documentation, and agile development."
"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."
"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."
"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 tool has a logical link between epic feature, user story, and task, but when you try to generate a report to show the delivery progress against a feature, it is not easy. To see the percentage completion for a feature or progress of any delivery, it is not easy to draw a report."
"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."
"It would be great if I could integrate with a human resource type of software that could control timesheets."
"I have not been able to use the integration with automation features, such as test management automation, with a framework that is written in Java."
"I would like to see DevOps have the ability to give us something with a compatibility or traceability matrix."
"The solution should have fewer updates."
"Microsoft could focus on refining the reporting and dashboard elements of Azure DevOps to improve it."
"Requirements management is an area that can 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 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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