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."
"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."
"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."
"We're only using the basic features of GitLab and haven't used any advanced features. The solution works fine, so that's what we like about GitLab. We're party using GitHub and GitLab. We have a GitHub server, while we use GitLab locally or only within our team, and it works okay. We don't have any significant problems with the solution. We also found the straightforward setup, stability, and scalability of GitLab valuable."
"This is a scalable solution. We had around 200 users working with it."
"The solution is stable."
"The merging feature makes it easy later on for the deployment."
"The dashboard and interface make it easy to use."
"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."
"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 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."
"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 used Spring Cloud config and to connect that to GitLab was so hard."
"Reporting could be improved."
"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."
"Atlassian offers more products than GitLab. GitLab offers source control management, version control and collaboration between developers. Atlassian offers features on top of this as well as more integration points for developers."
"The documentation could be improved to help newcomers better understand things like creating new branches."
"Their RBAC is role-based access, which is fine but not very good."
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.
