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 orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"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 pricing seems to be reasonable."
"This solution works with other Microsoft solutions pretty easily. It was easy to integrate everything into all the other tools that we were using. It integrates very seamlessly."
"You get a complete solution with Azure DevOps. You can do everything in one place, starting from requirement gathering until you release the product. It is a reliable, scalable, and handy product."
"Everything that's related to the pipeline has been very good."
"The most valuable feature is that it's fully integrated, where we have a single place to do everything that we need."
"All features are good. Pipelines feature is great, and Boards and Artifacts features are also really good. It is really good at what it does. It is very comprehensive, and it has some really great aspects to it. It is very easy. It is probably one of the easiest to use DevOps tools in the industry, and it is well integrated."
"Overall, so far we have no major issues to report."
"One of the main features is the user interface is very good."
"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."
"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."
"Microsoft could focus on refining the reporting and dashboard elements of Azure DevOps to improve it."
"We are currently in the process of moving all of our on-prem to the cloud platform. We are trying to make that move and host the majority of our DevOps services in the cloud because the cloud is where most of the things are going nowadays. However, the process of this transfer is not straightforward, and it could be a lot easier. Microsoft hasn't provided the maturity for migration tools. It could be a lot easier in that respect. I want to see them continue to advance the API capabilities. They could add some more robust functionality to the administrative layer within ADO services. There are a lot of configuration elements that you need to take care of at the organization level and the project configuration level from an administrative capacity. When you're dealing with process templates and things of that nature, you have to do them all manually. Being able to automate some of that using scripts or API functionality would be really nice."
"There is only one key area of improvement for me. The new imaging thing is that there is DevOps, where security is important because it is always lasting. So, to integrate security in our DevOps, that would be nice."
"At times, our development work encounters issues, particularly when executing numerous CI/CD processes."
"There are certain areas in Azure DevOps that are better in other products."
"Its setup is quite complex."
"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."
"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 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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