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 orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"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 one thing that really stands out to me is how you can filter and how you can do your reporting and filter the tasks and everything by user."
"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."
"It is good for the purpose it is designed for. It is good for maintaining a repository of application code, creating pipelines for deploying the code, building the code, and deploying the code. It can be easily used by developers. There are no issues."
"The most valuable features of this solution are the CI/CD pipeline, and the testing automation."
"I found the Kanban board to be the most useful for my needs."
"They have been lately adding features to the services on a regular basis. Every two weeks, they are adding functionality to Azure DevOps Services to match it with what Azure DevOps Server or on-prem would offer. So, we continue to get more robust functionality. My favorite right now is that they are starting to open up the API availability within Azure DevOps Services. Another thing that I like about Azure DevOps is that you can use it with any of the products that are on the market. You can integrate it with Jenkins and other open-source products to complete that fully functional CI, CD, CT, CM, and CS pipeline. It continues to enhance."
"We are able to generate many different types of reports from Azure."
"The most valuable feature is the complete integration between test cases, pipelines, and issue management."
"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."
"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 solution is a little bit expensive."
"I would like to automate notifications on sprint planning. When we are getting to the end of sprint planning, we would be automatically notified."
"Proper Gantt charting should be a feature that is included because as it is now, we have to create it ourselves."
"They should expand it from just a PC, software, or server development platform to other kinds of software or engineering systems so that it is not necessarily built around a normal PC with a server. I would like to see the ability to write my own scripts in my own compiled program or online. Right now, there are things that you can do in the user interface, but you can't do them programmatically and vice versa. I want to see them both. If I can do it in a script, I should be able to do it from the user interface, and if I can do it in the user interface, I should be able to do it in a script."
"Definitely, there should be more integration between GitHub and Azure DevOps."
"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."
"Testing is very important. Microsoft Azure DevOps tests very well. However, DevOps teams need to be aware of what they are impacting when someone updates anything on the system."
"As for room for improvement, more features need to be added to the classic pipeline. The build and release pipelines are present, but there has not been much improvement there."
"While reporting in Azure DevOps is a robust capability, there's always room for enhancement, particularly in providing more granular reports."
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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