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."
"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."
"The dashboard and interface make it easy to use."
"Their CI/CD engine is very mature. It's very comprehensive and flexible, and compared to other projects, I believe that GitLab is number one right now from that perspective."
"As a developer, this solution is useful as a repository holder because most of the POC projects that we have are on GitLab."
"It is very flexible and easy because you can store data on cloud."
"The SaaS setup is impressive, and it has DAST solutioning."
"Key features allow creation of well-presented Wiki that includes ideas, development, and domains."
"We like that we can create branches and then the branches can be reviewed and you can mesh those branches back. You can independently work with your own branch, you don't need to really control the core of other people."
"CI/CD and GitLab scanning are the most valuable features."
"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."
"The tool needs to improve on cloud-native GitOps."
"There is a need to improve or adopt AI into the ecosystem like a co-pilot, which Microsoft has done with GitHub."
"The solution does not have many built-in functions or variables so scripting is required."
"It can be free for commercial use."
"I believe there's room for improvement in the advanced features, particularly in enhancing the pipeline functionalities."
"Merge conflicts and repository maintenance could improve. If there is someone new to the system they would not know if there is a conflict."
"The tool should include a feature that helps to edit the code directly."
"The integration and storage capabilities could be better."
"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."
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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