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 orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"The solution can apply one template across multiple applications."
"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."
"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 most valuable feature of GitLab is the ability to upload scripts and make changes when needed and then reupload them. Additionally, the solution is user-friendly."
"The initial setup of GitLab is pretty simple, with no complications."
"The solution is stable."
"The most valuable feature of GitLab is its security."
"It is very flexible and easy because you can store data on cloud."
"This is a scalable solution. We had around 200 users working with it."
"I have had no problem with the stability of the solution."
"GitLab's best features are maintenance, branch integration, and development infrastructure."
"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."
"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."
"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."
"We would like to have easier tutorials. Their tutorials are too technical for a user to understand. They should be more detailed but less technical."
"The integration could be slightly better."
"We do face issues in our company when we run out of disk space."
"It should be used by a larger number of people. They should raise awareness."
"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."
"The solution does not have many built-in functions or variables so scripting is required."
"The solution could improve by providing more integration into the CI/CD pipeline, an autocomplete search tool, and more supporting documentation."
"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."
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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