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."This product is an innovative market leader in the field of application deployment."
"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."
"A user friendly solution."
"The tool helps to integrate CI/CD pipeline deployments. It is very easy to learn. Its security model is good."
"It's a great toolbox where the CI/CD pipeline is the fundamental component, but there are so many other features that you can pull from, which makes it a very powerful tool. My current client is using AWS, and they can, of course, use AWS CodePipeline, but GitLab is much more mature than that, and it also gives you the freedom to decide to go to another platform or have a multi-cloud strategy and things like that. That freedom for me is also very valuable."
"It is scalable."
"For us, Gitlab's most valuable feature is the integration with Cypress. We're using Cypress as an automation tool, so we're using GitLab as a tool for running in parallel."
"The most valuable feature of GitLab is its security."
"We like that we can have an all-encompassing product and don't have to implement different solutions."
"As a developer, this solution is useful as a repository holder because most of the POC projects that we have are on GitLab."
"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."
"The solution currently has a bug that causes performance issues. They need to resolve this in a future release."
"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'm new to GitLab, so I would appreciate more documentation about the code and commands."
"GitLab can improve by integrating with more tools, such as servers with Docker."
"I don't really like the new Kubernetes integration because it is pretty focused on the on-premise environment, but we're in a hybrid environment."
"GitLab could add a plugin to integrate with Kubernetes stuff."
"The solution should again offer an on-premises deployment option."
"GitLab can improve the integration with third-party applications. It could be made easier. Additionally, having API control from my application could be helpful."
"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."
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.
See our list of best Release Automation vendors.
We monitor all Release Automation reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
