We performed a comparison between AWS CodeDeploy and GitLab based on real PeerSpot user reviews.
Find out in this report how the two Release Automation solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's just like every other AWS resource I use. It gets the job done."
"The product's initial setup phase is easy."
"I found the default settings of AWS CodeDeploy to be highly beneficial for my deployment workflows. For instance, when deploying a Node.js application, I manually installed the necessary components on my AWS instance, such as the web server required by developers. Then, I created deployment scripts for starting and stopping instances and performing the deployment itself. These scripts were stored alongside my code in GitHub, ensuring they executed seamlessly with the CI/CD pipeline. Since the project wasn't overly complex, I opted for the default settings, which proved to be efficient and straightforward for deployment."
"AWS CodeDeploy operates on an on-demand basis. This means that you only pay for the exact duration of the deployment process. Whether it takes one minute, two minutes, or even longer, you're only charged for the time it takes to complete the deployment. You're not locked into paying for dedicated servers."
"It is very flexible."
"You can easily integrate AWS CodeDeploy with multiple services."
"The product is easy to use."
"The most valuable functionality of GitLab, for me, is the DevOps. Besides the normal source control based on Git, I find the Auto DevOps features most important in the solution."
"The most valuable features of GitLab are the CI/CD pipeline and code management."
"The most important features of GitLab for us are issue management and all the CI/CD tools. Another aspect that I love about GitLab is the UI."
"The solution makes the CI/CD pipelines easy to execute."
"It is scalable."
"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."
"CI/CD is valuable for me."
"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."
"AWS CodeDeploy doesn't provide multiple plugins like Jenkins, which is a shortcoming where improvements are required."
"I faced some stability issues."
"We have faced some issues and bugs along the way when it comes to stability."
"Deployment and stability should be improved."
"Improvements could be made to AWS CodeDeploy in terms of its agent's compatibility across different operating systems. Currently, there are instances where the agent may not work seamlessly with certain integrations, leading to issues with registering protocols on authorized servers."
"AWS should provide its own templates in the console so that I don't need to go anywhere else to get the template for AWS CodeDeploy or AWS CodeBuild."
"The integration and storage capabilities could be better."
"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."
"Reporting could be improved."
"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."
"We are having a few problems integrating with Jira at the moment, which is something that our IT department is investigating."
"I would like to see better integration with project management tools such as Jira."
"I would like to see security increased in the future. A secure environment is very important."
"The solution could improve by providing more integration into the CI/CD pipeline, an autocomplete search tool, and more supporting documentation."
AWS CodeDeploy is ranked 4th in Release Automation with 7 reviews while GitLab is ranked 2nd in Release Automation with 70 reviews. AWS CodeDeploy is rated 8.4, while GitLab is rated 8.6. The top reviewer of AWS CodeDeploy writes "The default settings of AWS CodeDeploy are highly beneficial for my deployment workflows". On the other hand, the top reviewer of GitLab writes "Powerful, mature, and easy to set up and manage". AWS CodeDeploy is most compared with AWS Amplify, AWS CodeStar, Microsoft Azure DevOps and Octopus Deploy, whereas GitLab is most compared with Microsoft Azure DevOps, Bamboo, SonarQube, AWS CodePipeline and Tekton. See our AWS CodeDeploy vs. GitLab report.
See our list of best Release Automation vendors.
We monitor all Release 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.
