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 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."
"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."
"What I like the most is the DevOps Boards. It's easy to create a hierarchical project structure, assign tasks to people, and to track their tasks."
"There are great automation tools."
"Fields can be customized and the reporting is good."
"It's a pretty problem-free solution."
"Great project management feature and Git-based repository."
"The build and release management features are valuable."
"The installation is straightforward. We can create a whole new organization in less than a day."
"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 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."
"Not all companies use the same methodology which could limit the use of this solution."
"The functions have too much dependency right now, so it makes it really, really hard to upgrade and make a change in the code."
"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."
"I would like to automate notifications on sprint planning. When we are getting to the end of sprint planning, we would be automatically notified."
"The interface is very bad."
"I would like to see a bit more project tracking."
"The user management in the solution could improve."
"The solution's roadmap and Gantt charts could be improved."
Digital.ai Release is ranked 9th in Release Automation with 3 reviews while Microsoft Azure DevOps is ranked 1st in Release Automation with 123 reviews. Digital.ai Release is rated 8.6, 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, Bamboo, IBM Rational Build Forge, Digital.ai Deploy and GitLab, 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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We monitor all Release Automation reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
