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."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."
"The reports have been most valuable. We have created some dashboards allowing us to be able to check our teams, their progress, and mission plans."
"The most valuable aspect of Azure DevOps for me is its robust version control functionality, which is critical for our workflow."
"There are great automation tools."
"Provides agile management of projects."
"Microsoft Azure DevOps has helped the developers a lot and we are deploying process changes very frequently and simultaneously. A lot of my team members that are developers are updating the code in parallel using Git. Additionally, Microsoft Azure DevOps is providing a very good approval mechanism. Overall it is benefiting by creating efficiency in production deployment and applications, our new releases are running well. The security of secured is good."
"Valuable features for project management and tracking in Azure DevOps include a portal displaying test results, check-in/check-out activity, and developer/tester productivity."
"Azure DevOps' collaborative features are good, and it integrates well with other tools in the software development process, like quality testing, documentation, and agile development."
"Microsoft Azure DevOps has been very good for creating pipelines, and all the solutions for creating task management for developers and for the business."
"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 can be improved by having better integration with other cloud platforms."
"Its setup is quite complex."
"Microsoft could focus on refining the reporting and dashboard elements of Azure DevOps to improve it."
"I would like to see new features added."
"I would like to see better interoperability with the agile scaling frameworks."
"Another area is the Azure monitoring agent for Citrix machines. There's room for improvement there too."
"The solution should have fewer updates."
"Compared to JIRA, I think Azure DevOps is missing some management elements, like some reporting features. It would be helpful if some things were clearer when we're adding attributes. For instance, sometimes we want to add some categories or attributes, and it's not so easy."
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, GitLab 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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