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 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 solution can apply one template across multiple applications."
"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 orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"The dashboard and interface make it easy to use."
"GitLab's best feature is Actions."
"The solution has an established roadmap that lays out its plans for upgrades over the next two to three years."
"GitLab offers a good interface for doing code reviews between two colleagues."
"The solution is stable."
"We have seen a couple of merge requests or pull requests raised in GitLab. I see the interface, the way it shows the difference between the two source codes, that it is easy for anyone to do the review and then accept the request; the pull request is the valuable feature."
"The most valuable feature of GitLab is the automatic merging of code."
"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 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."
"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."
"I would like more Agile features in the Premium version. The Premium version should have all Agile features that exist in the Ultimate version. IBM AOM has a complete Agile implementation, but in GitLab, you only have these features if you buy the Ultimate version. It would be good if we can use these in the Premium version."
"When deploying the solution on cloud and the CI/CD pipeline, we have to define the steps and it becomes confusing."
"The documentation is confusing."
"It is a little complex to set up the pipelines within the solution."
"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."
"It's more related to the supporting layer of features, such as issue management and issue tracking. We tend to always use, for example, Jira next to it. That doesn't mean that GitLab should build something similar to Jira because that will always have its place, but they could grow a bit in those kinds of supporting features. I see some, for example, covering ITSM on a DevOps team level, and that's one of the things that I and my current client would find really helpful. It's understandably not going to be their main focus and their core, and whenever you are with a company that needs a bit more advanced features on that specific topic, you're probably still going to integrate with another tool like Jira Service Management, for example. However, some basic features on things like that could be really helpful."
"The solution should be more cloud-native and have more cloud-native capabilities and features."
"It should be used by a larger number of people. They should raise awareness."
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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