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 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 orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"The product is easy to use...It is a stable solution."
"It's a pretty problem-free solution."
"It's got something that you won't find in other products."
"Some of the valuable features are the functionality and the wide range of capabilities."
"I found the Kanban board to be the most useful for my needs."
"Microsoft Azure DevOps has helped the developers a lot and we are deploying process changes very frequently and simultaneously. A lot of my team members that are developers are updating the code in parallel using Git. Additionally, Microsoft Azure DevOps is providing a very good approval mechanism. Overall it is benefiting by creating efficiency in production deployment and applications, our new releases are running well. The security of secured is good."
"The nice thing about Visual Studio Code is that it's a modular design. So if you're working on a strange language that has a different syntax, you can just get a plugin that'll format your code for you based on the language it's in."
"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."
"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."
"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."
"With the query feature, we have to group items, so it becomes difficult for everyone to understand it. It's easier in JIRA, which has filters and other query options."
"I think Azure DevOps could improve the traceability or business intelligence about the execution of DevOps processes."
"They have brought a lot of new collaboration features in the latest version. We haven't used those features, but they should continue to expand it more on the collaboration front so that two developers can look at the code and work at the same time. It will be helpful for working from home."
"When we don't have some permissions, we have to research how to get them."
"Being more technology-agnostic through ease of integration would be beneficial."
"The optimization feature in Microsoft Azure DevOps needs improvement. Control over multiple projects could also be improved."
"Azure DevOps is set up more for development and less for testing. If it is set up correctly, everyone can use it better, but it was set up from a development point of view, which means it is lacking in what I need from a testing perspective. Just like any other tool, it depends on how it is configured. I am not happy with the way it is set up. It is configured more from a development side, and it doesn't necessarily cater to all the other areas that probably need to use it, such as testing data, etc."
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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