We performed a comparison between Digital.ai Deploy and Microsoft Azure DevOps based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, GitLab, Red Hat and others in Release Automation."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."
"This product is an innovative market leader in the field of application deployment."
"It is a really easy way to define all of the features that you need to deliver. You can link those features to epics and break them down into user stories. You can also assign the user stories into sprints for doing your product improvement planning."
"I like the cloud infrastructure of Microsoft Azure DevOps."
"Some of the most valuable features are the ease of use and the ability to monitor a lot of things. It has a lot of applications and facilities that meet all the developers' requirements. For example, we can use application insights to get an idea of our application's performance. Since it's cloud-based, it's really good for collaboration and working as a team."
"The solution is scalable."
"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."
"Microsoft has good integration with its other products, such as Office, Teams, et cetera."
"It's got something that you won't find in other products."
"It is stable. I like Azure a lot. All our guys are Microsoft certified."
"The tool needs to improve on cloud-native GitOps."
"The solution currently has a bug that causes performance issues. They need to resolve this in a future release."
"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 is generally stable but not entirely issue-free."
"They have to add more features such as schedules and more flexibility in the platform."
"It would be great if I could integrate with a human resource type of software that could control timesheets."
"When you compare with Jira, there is a lack of progress features."
"In comparison to JIRA, I believe DevOps has very poor reporting and metrics support."
"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 testing environment and different pipelining concepts can be improved."
"The solution can be improved by having better integration with other cloud platforms."
Digital.ai Deploy is ranked 14th in Release Automation with 11 reviews while Microsoft Azure DevOps is ranked 1st in Release Automation with 124 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 "Good support, helpful management capabilities, and great Kanban boards". Digital.ai Deploy is most compared with Red Hat Ansible Automation Platform, GitLab and Digital.ai Release , whereas Microsoft Azure DevOps is most compared with GitLab, Jira, TFS, Rally Software and ServiceNow Strategic Portfolio Management.
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We monitor all Release Automation reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
