We performed a comparison between Digital.ai Deploy 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."This product is an innovative market leader in the field of application deployment."
"The solution creates a manifest file that caps the bridge between the developer and the system admin."
"The solution's most valuable aspect is that it is vendor-agnostic and it has a file called Manifest, which makes it possible for developers, ops people, and system admins to cooperate."
"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 like the cloud infrastructure of Microsoft Azure DevOps."
"What I like the most about this product is that it's free and it's secure."
"We can forecast tasks and the number of hours a task will take and can compare it with how long a task actually takes."
"The installation is very straightforward."
"Everything that's related to the pipeline has been very good."
"The solution integrates well with other Azure services and third-party tools."
"All of the features related to release management are very good."
"While it is a flexible product and provides a means of integrating with virtually anything, the company should make a better effort to keep up with new platform integrations."
"The solution currently has a bug that causes performance issues. They need to resolve this in a future release."
"The tool needs to improve on cloud-native GitOps."
"I would like to see DevOps have the ability to give us something with a compatibility or traceability matrix."
"I would like to see improvement in the metrics and the dependencies."
"It is essential that you get buy-in from the top management down to everyone in the pipeline."
"The dashboards need bigger with better extensions and layouts. There isn't a workflow related to the statuses on the dashboard. It only lists the statuses. You can have one started, and once done, but everything in between is only in progress and could be in any order you want, it lacks flow."
"They have to add more features such as schedules and more flexibility in the platform."
"The administrative capabilities of the tool need a huge improvement. Its Wiki and reporting also need a lot of improvement. Their support can also be better."
"The testing environment and different pipelining concepts can be improved."
"When you compare with Jira, there is a lack of progress features."
Digital.ai Deploy is ranked 13th in Release Automation with 11 reviews while Microsoft Azure DevOps is ranked 1st in Release Automation with 127 reviews. Digital.ai Deploy is rated 7.4, while Microsoft Azure DevOps is rated 8.2. The top reviewer of Digital.ai Deploy writes "Besides for the flash GUI which is a pain, it includes all of the features we were looking for". 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 Deploy is most compared with Red Hat Ansible Automation Platform and Digital.ai Release , whereas Microsoft Azure DevOps is most compared with GitLab, Jira, TFS, Rally Software and ServiceNow Strategic Portfolio Management. See our Digital.ai Deploy vs. Microsoft Azure DevOps report.
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