We performed a comparison between Digital.ai Deploy and GitLab 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."
"We use the Git repository and tagging feature. We are a product-based company and use this solution to move to a forward or backward tag."
"It scales well."
"The important feature is the entire process of versioning source code maintenance and easy deployment. It is a necessity for the CI/CD pipeline."
"The solution is stable."
"This product is always evolving, and they listen to the customers."
"The best thing is that as the developers work on separate tasks, all of the code goes there and the other team members don't have to wait on each other to finish."
"Of all available products, it was the easiest to use and easy to install."
"Key features allow creation of well-presented Wiki that includes ideas, development, and domains."
"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."
"GitLab could improve by having more plugins and better user-friendliness."
"GitLab could improve the patch repository. It does not have support for Conan patch version regions. Additionally, better support for Kubernetes deployment is needed as part of the package."
"For as long as I have used GitLab, I haven't encountered any major limitations. However, I think that perhaps the search functionality could be better."
"It's more related to the supporting layer of features, such as issue management and issue tracking. We tend to always use, for example, Jira next to it. That doesn't mean that GitLab should build something similar to Jira because that will always have its place, but they could grow a bit in those kinds of supporting features. I see some, for example, covering ITSM on a DevOps team level, and that's one of the things that I and my current client would find really helpful. It's understandably not going to be their main focus and their core, and whenever you are with a company that needs a bit more advanced features on that specific topic, you're probably still going to integrate with another tool like Jira Service Management, for example. However, some basic features on things like that could be really helpful."
"We are having a few problems integrating with Jira at the moment, which is something that our IT department is investigating."
"It is a little complex to set up the pipelines within the solution."
"I'm new to GitLab, so I would appreciate more documentation about the code and commands."
"The solution should again offer an on-premises deployment option."
Digital.ai Deploy is ranked 14th in Release Automation with 11 reviews while GitLab is ranked 2nd in Release Automation with 70 reviews. Digital.ai Deploy is rated 7.4, while GitLab is rated 8.6. 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 GitLab writes "Powerful, mature, and easy to set up and manage". Digital.ai Deploy is most compared with Microsoft Azure DevOps, Red Hat Ansible Automation Platform and Digital.ai Release , whereas GitLab is most compared with Microsoft Azure DevOps, Bamboo, AWS CodePipeline, SonarQube and Tekton.
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