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."
"Overall, so far we have no major issues to report."
"I like the tracking and that we can monitor our velocity."
"I like the entire tool because it is a one-stop-solution for DevOps."
"The most valuable features are continuous integration and deployment, and simplicity."
"The most valuable feature of the solution is task management."
"The features that have a significant impact on us include CI/CD, where we have full integration with the source code repository and Azure Pipelines."
"Microsoft Azure DevOps has been very good for creating pipelines, and all the solutions for creating task management for developers and for the business."
"We use all the DevOps features and services, like reports, Boards, Pipelines, Artifactory, etc. The interface is interactive and intuitive. The platform visuals and workflow are straightforward in Azure DevOps."
"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 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."
"They should expand it from just a PC, software, or server development platform to other kinds of software or engineering systems so that it is not necessarily built around a normal PC with a server. I would like to see the ability to write my own scripts in my own compiled program or online. Right now, there are things that you can do in the user interface, but you can't do them programmatically and vice versa. I want to see them both. If I can do it in a script, I should be able to do it from the user interface, and if I can do it in the user interface, I should be able to do it in a script."
"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."
"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."
"Something that could be improved is the initial setup with the integration of ReadyAPI."
"The test management section needs to be improved."
"The interface is very bad."
"Some things like project management, tasks, progress, and having work progress views require us to use some external tools, or to create our own internal tools. These are not native to DevOps. It would be ideal if, instead of searching for third-party solutions, they had these feature sets or capabilities included under DevOps."
"Reporting could be better. We would like to see how many applications are onboarded in DevOps and in which phase they are. We would like to know for how many applications we have done only the repository, but we have not yet done the build pipeline or deploy pipeline. Currently, there is no such report. We have to figure it out ourselves. There is no way to check how many applications are completing their build pipelines, how many applications are completing their deploy pipeline, how many are ready to use, and how many pipelines are working."
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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