We performed a comparison between Digital.ai Release and GitLab based on real PeerSpot user reviews.
Find out in this report how the two Build Automation solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The time is also reduced because the manual work has tremendously decreased. We just have to click one button, and it will create everything for us."
"The solution can apply one template across multiple applications."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"The most valuable feature of Digital.ai Release is its ability to communicate with various deployment systems, such as XLD and batch deployments, as well as integrate with tools, such as Flyway and Bamboo. We use Bamboo as our build orchestrator, and Digital.ai Release also integrates with Jira, another Atlassian solution. These capabilities make it a powerful tool for managing workflow, test automation, and other processes."
"GitLab's best features are continuous integration and fast deployment."
"The scalability is good."
"It speeds up our development, it's faster, safer, and more convenient."
"Key features allow creation of well-presented Wiki that includes ideas, development, and domains."
"The solution makes the CI/CD pipelines easy to execute."
"The dashboard and interface make it easy to use."
"GitLab's best features are maintenance, branch integration, and development infrastructure."
"The important feature is the entire process of versioning source code maintenance and easy deployment. It is a necessity for the CI/CD pipeline."
"Digital.ai Release could improve by having a better plugin that works with Guardian that we use for mainframe migrations. If there could be an interface or plugin for Guardian that would be beneficial."
"The solution is a little bit expensive."
"The backfill could be improved, we could automate that. Right now it's subjective — it's up to the lead developer's memory to remember to backfill."
"Currently, we put artifact details manually. What we could improve, in our case, is the deployment instruction base. Developers input all the information, including which artifact and where it needs to be deployed. What Digital.ai could do is automatically go to the deployment instruction page, take those artifact details, and implement them."
"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 believe there's room for improvement in the advanced features, particularly in enhancing the pipeline functionalities."
"I would like to have some features to support peer review."
"It can be free for commercial use."
"Some of the scripts that we encountered in GitLab were not fully functional and threw up errors."
"The only thing our company is really waiting on in terms of features is the development of metrics."
"GitLab's UI could be improved."
Digital.ai Release is ranked 12th in Build Automation with 4 reviews while GitLab is ranked 1st in Build Automation with 70 reviews. Digital.ai Release is rated 8.2, while GitLab is rated 8.6. The top reviewer of Digital.ai Release writes "Effectively automates deployments and applies one template across applications". On the other hand, the top reviewer of GitLab writes "Powerful, mature, and easy to set up and manage". Digital.ai Release is most compared with Jenkins, Microsoft Azure DevOps, IBM Rational Build Forge, Bamboo and Digital.ai Deploy, whereas GitLab is most compared with Microsoft Azure DevOps, SonarQube, Bamboo, AWS CodePipeline and Tekton. See our Digital.ai Release vs. GitLab report.
See our list of best Build Automation vendors and best Release Automation vendors.
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