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 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."
"I find the features and version control history to be most valuable for our development workflow. These aspects provide us with a clear view of changes and help us manage requests efficiently."
"The stability is good."
"I like GitLab's security and SAS tools."
"The solution's most valuable feature is that it is compatible with GitHub. The product's integration capabilities are sufficient for our small company of 35 people."
"The scalability is good."
"The initial setup of GitLab is pretty simple, with no complications."
"The solution is stable."
"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 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."
"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."
"GitLab can improve the integration with third-party applications. It could be made easier. Additionally, having API control from my application could be helpful."
"The initial setup was quite challenging because it takes some time to understand how to pull out or push the code."
"The documentation could be improved to help newcomers better understand things like creating new branches."
"The documentation is confusing."
"GitLab doesn't have AWS integration. It would be better to have integration with other container management environments beyond Kubernetes. It has very good integration with Kubernetes, but it doesn't have good integration with, for example, AWS, ETS, etc."
"I would like to see static analysis also embedded in GitLab. That would also help us. If there's something that it does internally by GitLab and then that is already tied up with your pipeline and then it can tell you that you're coding is good or your code is not great. Based on that, it would pass or fail. That should be streamlined. I would think that would help to a greater extent, in terms of having one solution rather than depending on multiple vendors."
"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."
"Some of the scripts that we encountered in GitLab were not fully functional and threw up errors."
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, SonarQube, Bamboo, AWS CodePipeline and Tekton. See our Digital.ai Deploy vs. GitLab report.
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