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."
"This product is an innovative market leader in the field of application deployment."
"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."
"What I like the most about this product is that it's free and it's secure."
"DevOps is easy to use because we can arrange each task in a project and follow up with the testing, development, and business teams. We manage everything through this."
"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."
"I really like the Microsoft DevOps survey."
"The most valuable feature is that we can run integrations with DevOps. From a QA perspective and a testing perspective, we can run those tests and integrate automation tools. Then we can run those tests as part of the deployment process. Every time we are deploying something, it automatically runs all the tests."
"Microsoft has good integration with its other products, such as Office, Teams, et cetera."
"Version control practices have been perfect for us. It maintains a detailed history and is integrated with GitHub, which is also a Microsoft product. It is quite a game-changer."
"The installation is very straightforward."
"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."
"Some of the queries, the way they're built, need to be looked at. We need better query tools."
"The solution can improve by adding integration with on-premise tools. The only built-in repository options are GitHub and DevOps."
"The functions have too much dependency right now, so it makes it really, really hard to upgrade and make a change in the code."
"The ability to extend work items was more flexible than it is now. Talking version control, one of our customers had some issues because they found it very difficult to manage more than 1000 repositories for one team project."
"They could provide clearer guidance on deployment practices for the product."
"We are facing a lot of issues in the development of containerized solutions. We are facing a lot of challenges in this area. They could make the process simpler."
"When you compare with Jira, there is a lack of progress features."
"Its UI can be easier and more customer-friendly. The UI can be improved from the project management and agile perspective."
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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