We compared GitLab and AWS CodePipeline based on our user's reviews in several parameters.
In summary, GitLab is praised for its pricing, version control capabilities, customer service, and project management features, while users suggest improvements in UI, speed, and code review. On the other hand, AWS CodePipeline stands out for its integration with AWS services, ease of use, and automation capabilities. Users appreciate its flexible pricing and excellent customer service but seek enhancements in flexibility, UI, integration, documentation, performance, error handling, and potentially pricing.
Features: In terms of valuable features, GitLab stands out with its robust version control capabilities, seamless collaboration tools, comprehensive issue tracking system, and strong integration with other development tools. On the other hand, AWS CodePipeline is highly appreciated for its seamless integration with other AWS services, ease of use and flexibility in setting up workflows, and excellent scalability and stability.
Pricing and ROI: GitLab's setup cost is reported to be easy and straightforward, offering flexible and convenient licensing options for individuals and businesses. On the other hand, AWS CodePipeline offers simplicity and ease of setup, with fair and transparent licensing terms that suit businesses of different sizes and budgets., GitLab users have reported positive ROI and satisfaction, emphasizing the platform's value and benefits. AWS CodePipeline users have highlighted its integration, automation, and error reduction capabilities, improving workflow efficiency and software quality.
Room for Improvement: GitLab's room for improvement lies in its user interface, navigation, performance, project management features, and code review process. AWS CodePipeline, on the other hand, can enhance its flexibility, user interface, integration capabilities, documentation, performance, error handling, and pricing models.
Deployment and customer support: The user feedback for GitLab indicates a range of timeframes for deployment and setup phases, with some users considering them separate and others considering them the same period. On the other hand, user experiences with AWS CodePipeline vary greatly, with some users requiring three months for deployment and others only a week. Setup times also vary., The customer service of both GitLab and AWS CodePipeline products has been highly praised by users. Users appreciate the prompt assistance and knowledgeable support team of both products. However, GitLab is known for consistently going above and beyond to resolve issues and address concerns, while AWS CodePipeline has been commended for its responsiveness and availability of customer service.
The summary above is based on 57 interviews we conducted recently with GitLab and AWS CodePipeline users. To access the review's full transcripts, download our report.
"I find performance to be the most valuable CodePipeline feature. It works perfectly and smoothly."
"The integrations are good."
"The tool's recent version helps us to run pipelines in parallel. The integration with other AWS services has greatly impacted our use of AWS CodePipeline. It made tasks such as integrating with Jira and provisioning instances much easier."
"It helps develop CI/CD implementations with centralized management of code building, deployment, and version control."
"The product is a one-stop solution that you can use to integrate, deploy and host your application."
"AWS CodePipeline has valuable integration features."
"The most valuable feature of AWS CodePipeline is the flexibility of the configuration."
"It's a perfect solution if you are just using AWS."
"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."
"GitLab is a solution for source code management, container registry, pipelines, testing, and deployment."
"This product is always evolving, and they listen to the customers."
"The user interface is really good so that helps with huge teams who need to collaborate."
"It is very flexible and easy because you can store data on cloud."
"The solution's service delivery model is fantastic."
"GitLab is kind of an image of GitHub, so it gives us the flexibility to monitor our changes in the repos."
"A user friendly solution."
"AWS CodePipeline doesn't offer much room for customization."
"The setup time is a bit long."
"The product’s pricing needs improvement."
"There could be a possibility of deploying tag-based conditions for different environments using the same code base."
"If you're talking about multi-cloud, you can't use it."
"AWS CodePipeline functions well, but there's room for improvement in providing technical support to regular customers who haven't purchased developer support. I mean, having it available for everyone, even if it's not a 24-hour service. It would be more useful if specific support hours were available for assistance."
"The solution could improve the documentation. Sometimes we have some issues with the documentation not updating after releasing .NET 6. We had some issues with building the code pipeline, and it was not updating the documentation. It's better to update the code documentation."
"In the next release, I would like to see fewer timeout errors."
"I don't really like the new Kubernetes integration because it is pretty focused on the on-premise environment, but we're in a hybrid environment."
"It would be better if there weren't any outages. There are occasions where we usually see a lot of outages using GitLab. It happens at least once a week or something like that. Whatever pipelines you're running, to check the logs, you need to have a different set of tools like Argus or something like that. If you have pipelines running on GitLab, you need a separate service deployed to view the logs, which is kind of a pain. If the logs can be used conveniently on GitLab, that would be definitely helpful. I'm not talking about the CI/CD pipelines but the back-end services and microservices deployed over GitLab. To view the logs for those microservices, you need to have separate log viewers, which is kind of a pain."
"There is a need to improve or adopt AI into the ecosystem like a co-pilot, which Microsoft has done with GitHub."
"Expand features to match other tools such as a static code analysis tool so third-party integrations are not required."
"The solution could improve by providing more integration into the CI/CD pipeline, an autocomplete search tool, and more supporting documentation."
"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."
"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."
"GitLab can improve by integrating with more tools, such as servers with Docker."
AWS CodePipeline is ranked 4th in Build Automation with 13 reviews while GitLab is ranked 1st in Build Automation with 70 reviews. AWS CodePipeline is rated 8.4, while GitLab is rated 8.6. The top reviewer of AWS CodePipeline writes "A fully managed service with excellent integrations and a flexible architecture". On the other hand, the top reviewer of GitLab writes "Powerful, mature, and easy to set up and manage". AWS CodePipeline is most compared with AWS CodeStar, Jenkins, GitHub Actions, Tekton and Bamboo, whereas GitLab is most compared with Microsoft Azure DevOps, Bamboo, SonarQube, Tekton and TeamCity. See our AWS CodePipeline vs. GitLab report.
See our list of best Build Automation vendors.
We monitor all Build 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.
