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 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 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."
"Their CI/CD engine is very mature. It's very comprehensive and flexible, and compared to other projects, I believe that GitLab is number one right now from that perspective."
"I like that it's easy to deploy our services over GitLab. The customer support is also good with a really active community. You have a lot of support that you can get online with your stack. That is probably one of the benefits of using GitLab. It's also really fast."
"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 very flexible and easy because you can store data on cloud."
"GitLab is a solution for source code management, container registry, pipelines, testing, and deployment."
"The solution's most valuable feature is that it is compatible with GitHub. The product's integration capabilities are sufficient for our small company of 35 people."
"The merging feature makes it easy later on for the deployment."
"The solution has an established roadmap that lays out its plans for upgrades over the next two to three years."
"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."
"The solution is a little bit expensive."
"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."
"GitLab would be improved with the addition of templates for deployment on local PCs."
"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."
"It is a little complex to set up the pipelines within the solution."
"There is room for improvement in GitLab Agents."
"It could have more security integrations and the ability to check the vulnerability of the code. I don't think it is a responsibility of Gitlab, but it would be nice to have more options to integrate with."
"This solution could be improved by adding modifications such as slack notifications."
"The integration could be slightly better."
"There is a need to improve or adopt AI into the ecosystem like a co-pilot, which Microsoft has done with GitHub."
Digital.ai Release is ranked 10th 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, Bamboo and IBM Rational Build Forge, whereas GitLab is most compared with Microsoft Azure DevOps, Bamboo, AWS CodePipeline, SonarQube 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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