We performed a comparison between Digital.ai Deploy and GitLab 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'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."
"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."
"GitLab's best feature is Actions."
"Git hosting has an integration with ACD which is why we liked this solution in the first place."
"I like that you can use GitLab as a double-sided solution for both DevOps and version management. It's a good product for working in these two areas, and the user interface makes it easy to understand."
"This product is always evolving, and they listen to the customers."
"The most valuable features of GitLab are the review, patch repo, and plans are in YAML."
"The tool helps to integrate CI/CD pipeline deployments. It is very easy to learn. Its security model is good."
"GitLab is kind of an image of GitHub, so it gives us the flexibility to monitor our changes in the repos."
"GitLab integrates well with other platforms."
"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."
"Based on what I know so far, its integration with Kubernetes is not so good. We have to develop many things to make it work. We have to acquire third-party components to work with Kubernetes."
"Even if I say I want some improvement, they will say it is already planned in the first quarter, second quarter, or third quarter. That said, most everything is quite improved already, and they're improving even further still."
"It could have more security integrations and the ability to check the vulnerability of the code. I don't think it is a responsibility of Gitlab, but it would be nice to have more options to integrate with."
"GitLab can improve by integrating with more tools, such as servers with Docker."
"GitLab could consider introducing a code-scanning tool. Purchasing such tools from external markets can incur charges, which might not be favorable. Integrating these features into GitLab would streamline the pipeline and make it more convenient for users."
"GitLab can improve the integration with third-party applications. It could be made easier. Additionally, having API control from my application could be helpful."
"We would like to generate document pages from the sources."
"I'm new to GitLab, so I would appreciate more documentation about the code and commands."
Digital.ai Deploy is ranked 13th 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, SonarQube, AWS CodePipeline and Tekton. See our Digital.ai Deploy vs. GitLab report.
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