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."
"DevOps is easy to use because we can arrange each task in a project and follow up with the testing, development, and business teams. We manage everything through this."
"Fields can be customized and the reporting is good."
"I like the fact that there is built-in Power BI. Both are Microsoft tools. So, you can incorporate dashboard capabilities."
"It is a well-integrated product in terms of the development lifecycle."
"The most valuable aspect of Azure DevOps for me is its robust version control functionality, which is critical for our workflow."
"The automated bill feature is most valuable. As with most software developers, I can build code on my machine, but if one of my coworkers can't build the same code on theirs, there are always issues in trying to track it down. The automated bill process makes it a lot easier to track down where the issues are and find out what bugs aren't being included for whatever reason."
"Provides agile management of projects."
"The initial setup process is easy."
"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."
"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 administrative capabilities of the tool need a huge improvement. Its Wiki and reporting also need a lot of improvement. Their support can also be better."
"Reporting across multiple projects could be improved."
"The dashboards need bigger with better extensions and layouts. There isn't a workflow related to the statuses on the dashboard. It only lists the statuses. You can have one started, and once done, but everything in between is only in progress and could be in any order you want, it lacks flow."
"I can't think of any specific things at the moment, but I've run into things that I didn't like. I came across something that I wanted to be changed in DevOps, but I can't remember what it was. It was a particular feature I was looking for that I couldn't find."
"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."
"Its interface could be more user-friendly. It could be simplified for users with no prior knowledge. There should also be better tutorials."
"When you compare with Jira, there is a lack of progress features."
"The solution should have fewer updates."
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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