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 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."
"Monitoring is most valuable."
"The creation of test plans is valuable and I like the reporting features."
"The available Kanban board is the best feature for management decisions."
"I really like the Microsoft DevOps survey."
"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."
"It is easy to use. The shared repository is useful. Everything is in one environment."
"The product is easy to use...It is a stable solution."
"The installation is very straightforward."
"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."
"Proper Gantt charting should be a feature that is included because as it is now, we have to create it ourselves."
"Microsoft could improve Visual Studio by making it easier to find the plugins you need to get your job done. Maybe they could implement an AI search instead of a simple tech search. Sometimes, people come up with a catchy name for something, and you don't know how it's spelled. For example, a developer might come up with a packet wizard and spell weird, like P-A-K-I-T."
"The solution is generally stable but not entirely issue-free."
"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."
"We are facing a lot of issues in the development of containerized solutions. We are facing a lot of challenges in this area. They could make the process simpler."
"I would like to see better integration and collaboration between tools."
"They have to add more features such as schedules and more flexibility in the platform."
"Project management could be improved."
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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