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 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."
"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 initial setup is very easy."
"The simplicity and ease of use are two features that we have found to be most valuable."
"The solution is easy to implement and easy to use."
"The most valuable features of this solution are the CI/CD pipeline, and the testing automation."
"My first impression of DevOps, after using Jira, is that it has a much better, more intuitive, and more user-friendly interface."
"It is easy to use. The shared repository is useful. Everything is in one environment."
"Most developers and project managers choose the Microsoft tools to begin with because of familiarity, and these new tools are almost an extension of the tools you're already familiar with. There's a lot of knowledge transfer, which helps, rather than bringing in a new product line."
"The available Kanban board is the best feature for management decisions."
"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."
"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."
"Azure DevOps is set up more for development and less for testing. If it is set up correctly, everyone can use it better, but it was set up from a development point of view, which means it is lacking in what I need from a testing perspective. Just like any other tool, it depends on how it is configured. I am not happy with the way it is set up. It is configured more from a development side, and it doesn't necessarily cater to all the other areas that probably need to use it, such as testing data, etc."
"It should be easier to manage Licenses especially because it's in the cloud."
"Not all companies use the same methodology which could limit the use of this solution."
"The test management section needs to be improved."
"As for improvement, the first one is pricing. For us, luckily because we are partners, it's free. Microsoft gold partners do not have to pay, but if you're not a partner, the product is very expensive."
"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."
"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."
"We would like some bidirectional synchronization. It's the requirement if you want to analyze it to software requirements, et cetera. That's something that most of the tools aren't that good at."
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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