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 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 solution can apply one template across multiple applications."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"Provides agile management of projects."
"The most valuable feature is automation with version control."
"I definitely like the pipelines and the ease of management once you're in an enterprise."
"One of the main features is the user interface is very good."
"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."
"The solution is easy to implement and easy to use."
"Two of the most valuable features include the integrated project management suite, which consolidates source code and project management in a single location, and its powerful reporting capabilities."
"We can eliminate some of the middleman processes."
"The solution is a little bit expensive."
"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 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."
"With an ecosystem that has been up and running for some time, you won't have the full-flexibility that you would have with a new ecosystem."
"It is very difficult to integrate the product with third-party tools."
"In comparison to JIRA, I believe DevOps has very poor reporting and metrics support."
"The UI could be improved."
"Improving the metrics that are readily available on the dashboard would be very helpful."
"With Microsoft, I would prefer to have more test plans. It's very difficult to find individual test plan module training."
"The main issue that I have is the connection speed. Sometimes, the response is too slow. I am based in Taiwan, and I am not sure if it is because of broadband or something else. Its initial configuration is also a little bit difficult."
"The solution is generally stable but not entirely issue-free."
Digital.ai Release is ranked 9th in Release Automation with 4 reviews while Microsoft Azure DevOps is ranked 1st in Release Automation with 124 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, 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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