AWS CodeBuild vs GitLab comparison

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AWS CodeBuild

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Executive SummaryUpdated on Mar 5, 2025

GitLab and AWS CodeBuild are strong competitors in the CI/CD and source code management field. GitLab seems to have the upper hand with a comprehensive feature set that caters to larger enterprises demanding seamless pipeline management and versatile code reviews, while AWS CodeBuild is favored for its simple integration within the AWS ecosystem, offering cost-effective serverless build solutions.

Features: GitLab offers seamless CI/CD pipeline management, robust code review, and extensive repository management capabilities, which are well-suited for teams requiring structured control and peer code scrutiny. AWS CodeBuild, on the other hand, excels in its integration with AWS services, providing a scalable, serverless building environment and effective platform support for varied coding languages and builds.

Room for Improvement: GitLab needs to enhance its AWS integration to compete with other cloud services, improve third-party integration, and expand reporting capabilities to support project management. AWS CodeBuild users highlight the need for improved documentation, easier troubleshooting, and enhanced UI and workflow management to address complexity and environmental setups.

Ease of Deployment and Customer Service: GitLab is flexible, offering both on-premises and cloud deployment, supported by a strong open-source community, though some users feel limited support without a paid plan. AWS CodeBuild provides ease of deployment for companies using AWS, benefiting from AWS's broad support infrastructure but relying on community and internal knowledge for problem-solving.

Pricing and ROI: GitLab has various pricing tiers that cater to different business sizes and needs, but its higher cost tiers can be challenging for smaller teams. In contrast, AWS CodeBuild's pricing based on compute resources is considered cost-effective, particularly for serverless operations. Both platforms deliver a strong ROI by streamlining automation and reducing deployment times, with GitLab's full feature set often justifying its price for enterprises, while AWS CodeBuild provides a more budget-friendly solution for those within the AWS environment.

To learn more, read our detailed AWS CodeBuild vs. GitLab Report (Updated: June 2026).

AWS CodeBuild vs. GitLab

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

AWS CodeBuild

Ranking in Build Automation

12th

Average Rating

8.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

GitLab

Ranking in Build Automation

2nd

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Application Security Tools (6th), Release Automation (2nd), Static Application Security Testing (SAST) (4th), Rapid Application Development Software (11th), Software Composition Analysis (SCA) (4th), Enterprise Agile Planning Tools (2nd), Fuzz Testing Tools (2nd), DevSecOps (1st)

Mindshare comparison

As of June 2026, in the Build Automation category, the mindshare of AWS CodeBuild is 2.3%, up from 1.2% compared to the previous year. The mindshare of GitLab is 6.8%, down from 15.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Build Automation Mindshare Distribution
Product	Mindshare (%)
GitLab	6.8%
AWS CodeBuild	2.3%
Other	90.9%

Build Automation

Featured Reviews

SomdipRoy

Solution Architect at Skillnetinc

Has enabled automated deployments through continuous integration and supports multi-environment delivery

My recommendation for AWS CodeBuild to make it better for the next release would be something within AWS CodeBuild which can support the repository functions as well. It may not be as powerful as GitHub Actions, but it provides a very competitive price compared to GitHub Actions. GitHub Actions, if you want to use the YML CI/CD pipeline, gives a free tier of around three thousand hours per month. AWS CodeBuild is a little more expensive than that. However, if it supports the repository function as well along with it, then it will be a complete package. Everything would be in AWS, including the code versioning, code commit to the code infrastructure, to the code database, to the networking, and how the applications are accessed. Everything would be in one place, which would be very helpful. I believe AWS CodeBuild is a bit expensive because GitHub provides around three thousand minutes free, plus it has the free repository function as well. At the enterprise level, it charges maybe around nineteen dollars per user, though I do not remember exactly. In terms of AWS CodeBuild, I believe it is a bit expensive because it is providing only the deployment features. It is not providing the repository. In that comparison, I would say it is a little bit expensive.

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BasilJiji

System engineer at a retailer with 10,001+ employees

Role-based workflows have transformed daily deployments and improve team collaboration

GitLab has role-based access control, so when a team member needs to make a code change, they cannot directly apply it to the environment but must put in a merge request. Once a senior reviews the code and approves it, then it is implemented across the environment, making it safer and allowing everyone to experience the process. The best features GitLab offers are version control and automation, which are the major things that stand out to me. When it comes to access, the login is very smooth, with just one login integrated with our Okta, allowing everyone to log in easily. Deployments become much easier, and that is how GitLab helps. The automation features make my work easier because we use a tool called AWX, which is connected to GitLab. Whenever we run a job on AWX, it directly checks the code and uses it. Since the code is not preserved locally but kept in the cloud, it is safe and nobody can tamper with it. When it comes to safety, that is a major thing. Automation features allow the code to be accessed from any tools we use, so the jobs we run are helping tremendously and doing their work perfectly. For pipeline tasks, we have created a significant amount of pipelines, which are all hosted in GitLab. Running the pipelines has become much easier, and they are doing a perfect job, helping tremendously in our day-to-day activities. GitLab has positively impacted my organization because previously we stored code locally on servers, leading to many risks. Since GitLab came into our environment, our integration and deployments became much easier, helping our work become much smoother. Improvements from GitLab have led to better team collaboration because when several people are working, they can all edit the code and submit it as a merge request, and once approved, it reflects directly to the main branch. Many can work at the same time. When it comes to deployments, deploying has become much faster since we started using GitLab, and even if errors occur, we can spot them easily and troubleshoot, which has helped tremendously.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"AWS CodeBuild's support for popular languages and tools has enhanced my productivity; it supports the three most popular stacks that are in the world: the Python stack, the Node.js stack or framework, and the Java framework, along with other technology stacks such as Ruby on Rails."

"It works seamlessly with AWS Elastic Container Registry (ECR)."

"AWS CodeBuild reduces wait time and optimizes workflows."

"A valuable feature is the support for third-party repositories such as Bitbucket, GitLab, or GitHub."

"The initial setup of CodeBuild is easy."

"Scalability is a great feature with AWS CodeBuild, because after deploying applications the service automatically scales up and down according to our AWS needs using load balancing, which makes managing applications much easier without significant interruptions."

"The integration with other AWS services has streamlined our workflow."

"The tool is used to build and test code. I find its biggest advantages are elasticity and reliability. We can easily assign as many computing resources as needed to build our code, which is much simpler than traditional methods that require server upgrades. It's a serverless tool, so it's very flexible and elastic."

More AWS CodeBuild pros

"Overall, it's a great product and it does a good job."

"My understanding is that the product is reliable."

"We like that we can have an all-encompassing product and don't have to implement different solutions."

"The CI/CD pipeline with Helm has significantly improved deployment speed and efficiency."

"I recommend GitLab for DevOps engineers."

"It streamlines our DevOps processes with automated CI/CD pipelines."

"When a developer checks in code, it is automatically built and deployed, and automated test cases are also run. We have extensive integration with GitLab, which helps us with source code management. We run the static code analysis using SonarQube."

"It is very useful for reviews. We are using branch merging operations and full reset operations. It is also very useful for merging our code and tracking another branch. The graph diagrams of Git are very useful. Its interface is straightforward and not too complex for us."

More GitLab pros

Cons

"There is no persistent storage or preservation of workspace between the builds."

"One of the main challenges is that if the environment is not set up properly, it will result in issues such as image errors."

"We had integration issues with a tool called Octopus Deploy while using CodeBuild. AWS support helped us resolve it, however, it could be better."

"Notifications could be added, or SNS integration could be included so that notifications can be received on every build, whether the build fails or succeeds."

"For improvement, I'd suggest more build instance-type options. There's a big jump from 15 gigabytes of RAM to 150, and I'd like something in between as the larger option is too expensive for our needs."

"I believe AWS CodeBuild is a bit expensive because GitHub provides around three thousand minutes free, plus it has the free repository function as well."

"While working on building images for multiple applications within a single script, I encountered an issue where looping functionality was not supported as expected."

"There have been times when CodeBuild has shown some instability, like bugs or breakdowns."

More AWS CodeBuild cons

"It should be used by a larger number of people. They should raise awareness."

"In the next release, I would like to see GitLab expand its integration capabilities to include platforms like DigitalOcean, which developers widely use for cloud infrastructure. Enhancing CI/CD automation features specifically tailored for DigitalOcean would be beneficial."

"The solution does not have many built-in functions or variables so scripting is required and that is a drawback."

"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."

"You need to have a good knowledge of the product in order to use it."

"Regarding improvements, making task management is something that GitLab can potentially make easier, similar to what DevOps or Jira does."

"We have only seen a couple of issues on Gitlab, which we use for building some of the applications."

"As GitLab is not perfect, what needs improvement in the solution is the Wiki feature of the groups or the repertories because currently, it's not searchable by default. You'll need an indexing service such as Elasticsearch to make it searchable, and that requires too much work, so for me, it's the main feature that should be improved in GitLab. In the next version of the solution, from the top of my head, the documentation could be improved. Besides the Wiki, it would be good if there's documentation that would be automatically generated based on the code repository. In other words, there should be some tutorials from GitLab for developers in the next release."

More GitLab cons

Pricing and Cost Advice

"AWS CodeBuild is free. We only pay for our code's compute resources during the build process. For example, if our code takes ten minutes to build, we only pay for those ten minutes of computing time. CodeDeploy and CodePipeline are free because they're serverless and don't require computing resources. CodeCommit has minimal costs for storing code."

"Despite the cost, it is worth the investment."

"We pay a monthly licensing fee."

"The price of GitLab could be better, it is expensive."

"GitLab is highly priced for smaller teams, but it's okay if considering a user base of thousands."

"GitLab is an open-source solution."

"We are using the free version of GitLab."

"We are using the open-source version."

"The price is okay."

"I'm not sure if they have some kind of discount. I've been negotiating with them on prices before, and I believe they weren't too happy to give discounts, but list prices are $19 per user, per month for Premium and $99 per user, per month for Ultimate. So, the difference between Premium and Ultimate is a bit bigger, and in most companies, you need to build some type of business case."

"GitLab's pricing is good compared to others on the market."

More GitLab pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

12%

Media Company

Healthcare Company

Financial Services Firm

14%

Manufacturing Company

11%

Government

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	4
Large Enterprise	2

By reviewers
Company Size	Count
Small Business	38
Midsize Enterprise	10
Large Enterprise	49

Questions from the Community

What is your experience regarding pricing and costs for AWS CodeBuild?

The cost structure is affordable for most builds except macOS servers. Standard builds can utilize AWS EC2 servers for background operations. However, macOS or iOS builds require physical servers m...

What needs improvement with AWS CodeBuild?

What is your primary use case for AWS CodeBuild?

My use of AWS CodeBuild is focused on the CI/CD part, which stands for continuous integration and continuous deployment. Basically, we write the code and then commit it into a repository, which cou...

What is your experience regarding pricing and costs for GitLab?

The setup cost for GitLab is minimal since the team has its own minimal resource balancing. The costing falls into an intermediate stage and is impactful across all results within the team. It allo...

What needs improvement with GitLab?

There are many improvements that GitLab can implement, such as addressing the issue of caching. Currently, when I have multiple tasks to merge or attempt multiple merges, the CI/CD and overall GitL...

What is your primary use case for GitLab?

My main use case for GitLab is as a version control system that we are using. Currently, I am working on an end-to-end AI pipeline, and I have deployed my whole code using GitLab so that all things...

AWS CodePipeline vs AWS CodeBuild

Comparisons

Jenkins vs AWS CodeBuild

Compared 11% of the time

Compared 10% of the time

GitHub Actions vs AWS CodeBuild

Compared 9% of the time

Bamboo vs AWS CodeBuild

Compared 7% of the time

IBM Rational Build Forge vs AWS CodeBuild

Compared 6% of the time

More AWS CodeBuild Competitors

Microsoft Azure DevOps vs GitLab

Compared 41% of the time

SonarQube vs GitLab

Compared 2% of the time

Tekton vs GitLab

Compared 2% of the time

Jenkins vs GitLab

Compared 2% of the time

TeamCity vs GitLab

Compared 2% of the time

More GitLab Competitors

Product Reports

AWS CodeBuild

Download AWS CodeBuild product report

Download GitLab product report

Also Known As

CodeBuild

Fuzzit

Overview

AWS CodeBuild provides automated build services with seamless AWS service integrations and third-party tools, supporting multiple programming languages. It features serverless architecture, facilitating flexible and efficient workflows.

AWS CodeBuild enables automation of builds through webhooks and integrates smoothly with platforms like GitLab and Jenkins. Its architecture allows multiple concurrent builds, enhancing productivity and speed. With features like CloudWatch logging and IAM permissions, users can easily manage security and debugging processes. Challenges such as limited integrations, geographic efficiencies, and pricing transparency are areas for growth. Notably used for building microservice applications and CI/CD pipelines, it integrates well with GitHub, GitLab, CodeCommit, and CodeDeploy, managing permissions with IAM policies for secure operations.

What are the key features of AWS CodeBuild?

Elastic Serverless Architecture: Increases flexibility and workflow efficiency.
CloudWatch Logging: Simplifies debugging and security management.
CI/CD Integration: Streamlines processes with platforms like GitLab and Jenkins.
Support for Multiple Languages: Offers broad programming language support.

What benefits should users look for in AWS CodeBuild reviews?

Improved Build Speed: Multiple concurrent build requests enhance productivity.
Security Management: Simplified through IAM permissions and integrations.
Flexibility and Efficiency: Serverless architecture supports diverse workflows.
CI/CD Streamlining: Reduces setup efforts with automated workflows.

In various industries, AWS CodeBuild is leveraged for developing microservices, utilizing its capability to manage CI/CD pipelines effectively. Teams often employ it for generating Docker images, automating the deployment process to services such as EKS and ECS, and harnessing platform extensions for comprehensive integrations.

Amazon Web Services (AWS)

GitLab offers a secure and user-friendly platform for CI/CD pipeline management, code repository control, and collaboration, enhancing development speed and efficiency. It facilitates automation with extensive customization and tool integration, ideal for DevOps processes.

GitLab supports source code management, version control, and collaborative development. It's frequently used in CI/CD processes to automate builds and deployments while integrating DevOps practices. GitLab allows companies to manage repositories, automate pipelines, conduct code reviews, and maintain development lifecycles. The platform supports infrastructure and configuration management, enabling efficient code collaboration, deployment automation, and comprehensive repository handling. Many organizations commit and deploy developed code using GitLab's capabilities.

What are GitLab's most valuable features?

CI/CD Pipeline Management: Streamlines development through automated testing and deployment.
User-Friendly Interface: Ensures ease of collaboration and task automation.
Code Merging and Branching: Facilitates smooth code integration and version control.
Security Platform: Provides strong security features for safe development.
Tool Integration: Enhances functionality with diverse tool integration.

What benefits should users evaluate?

Development Speed: Accelerates processes through automation.
Collaboration Ease: Simplifies team interactions and workflow.
Customization Options: Offers extensive personalization for specific needs.
Comprehensive Documentation: Provides detailed guidance for users.
Secure Platform: Maintains integrity with robust security features.

In specific industries, GitLab serves as a backbone for source code management and CI/CD implementation. Companies leverage its capabilities for infrastructure management and deployment automation, thus streamlining project delivery timelines. Its ability to handle configuration management and code repositories effectively aids in maintaining development lifecycles, making it a preferred choice for organizations committed to enhancing their DevOps practices.

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

1. NASA 2. IBM 3. Sony 4. Alibaba 5. CERN 6. Siemens 7. Volkswagen 8. ING 9. Ticketmaster 10. SpaceX 11. Adobe 12. Intuit 13. Autodesk 14. Rakuten 15. Unity Technologies 16. Pandora 17. Electronic Arts 18. Nordstrom 19. Verizon 20. Comcast 21. Philips 22. Deutsche Telekom 23. Orange 24. Fujitsu 25. Ericsson 26. Nokia 27. General Electric 28. Cisco 29. Accenture 30. Deloitte 31. PwC 32. KPMG

AWS CodeBuild vs. GitLab