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 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 solution can apply one template across multiple applications."
"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."
"I like the fact that there is built-in Power BI. Both are Microsoft tools. So, you can incorporate dashboard capabilities."
"The most valuable feature of this solution is that it saves time."
"All of the features related to release management are very good."
"Stable and scalable solution for work planning and code collaboration. It's fast, and it offers a good user experience."
"Microsoft has good integration with its other products, such as Office, Teams, et cetera."
"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 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."
"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."
"The solution is a little bit expensive."
"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."
"When comparing with Jira, I find that the task management capabilities in Azure DevOps are not yet fully comprehensive and should be enhanced."
"The main issue that I have is the connection speed. Sometimes, the response is too slow. I am based in Taiwan, and I am not sure if it is because of broadband or something else. Its initial configuration is also a little bit difficult."
"The UI could be improved."
"It should be easier to manage Licenses especially because it's in the cloud."
"With Microsoft, I would prefer to have more test plans. It's very difficult to find individual test plan module training."
"I think that they have some menus there that are not very well placed."
"It is essential that you get buy-in from the top management down to everyone in the pipeline."
"The tutorials for building pipelines are an area that is a bit technical for a beginner."
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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