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."
"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."
"There are a lot of helpful features available for tracking dependencies."
"The solution integrates well with other Azure services and third-party tools."
"The integration of the whole cycle is the main strength of the tool. If I want to control the cycle with other tools on the market, I would have to use several tools. However, this is not the case with Azure DevOps or TFS."
"I like the entire tool because it is a one-stop-solution for DevOps."
"Fields can be customized and the reporting is good."
"The simplicity and ease of use are two features that we have found to be most valuable."
"The most valuable feature is that it's fully integrated, where we have a single place to do everything that we need."
"The most valuable features of this solution are the CI/CD pipeline, and the testing automation."
"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."
"The only downside is that the deployment could be a little challenging but it is manageable."
"Proper Gantt charting should be a feature that is included because as it is now, we have to create it ourselves."
"The ability to extend work items was more flexible than it is now. Talking version control, one of our customers had some issues because they found it very difficult to manage more than 1000 repositories for one team project."
"The functions have too much dependency right now, so it makes it really, really hard to upgrade and make a change in the code."
"Reporting could be better. We would like to see how many applications are onboarded in DevOps and in which phase they are. We would like to know for how many applications we have done only the repository, but we have not yet done the build pipeline or deploy pipeline. Currently, there is no such report. We have to figure it out ourselves. There is no way to check how many applications are completing their build pipelines, how many applications are completing their deploy pipeline, how many are ready to use, and how many pipelines are working."
"It is essential that you get buy-in from the top management down to everyone in the pipeline."
"Non-functional testing such as security testing, log testing, and performance testing can be improved with a better visualization."
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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