AWS CodeDeploy vs GitLab comparison

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AWS CodeDeploy

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Executive SummaryUpdated on Jan 7, 2025

GitLab and AWS CodeDeploy compete in version control and deployment services. AWS CodeDeploy has an edge in integration capabilities, while GitLab is more appealing in terms of pricing and support for smaller teams.

Features: GitLab offers comprehensive CI/CD capabilities, version control, and an integrated development environment, making it versatile for developers. AWS CodeDeploy provides automated deployment for applications with streamlined updates and enhanced operational efficiency. AWS CodeDeploy stands out with seamless integration into the AWS ecosystem, appealing to organizations heavily utilizing AWS services, while GitLab’s feature set favors diverse software development environments.

Room for Improvement: GitLab could enhance its integration capabilities, provide more out-of-the-box templates, and improve scalability for large enterprises. AWS CodeDeploy might improve pricing transparency, offer more detailed documentation, and expand support for non-AWS platforms.

Ease of Deployment and Customer Service: AWS CodeDeploy simplifies deployment across EC2 instances and on-premises servers with robust automation and reliable AWS customer service. GitLab offers a straightforward setup process with active community support, making it flexible for various development environments, though AWS CodeDeploy offers superior integration for AWS-centric operations.

Pricing and ROI: GitLab provides flexible pricing models with no initial setup costs, offering high ROI with scalable plans suitable for growing teams. AWS CodeDeploy employs a pay-as-you-go model, which could result in unpredictable costs but provides value through integration with AWS services. GitLab's cost-effectiveness is attractive for smaller teams, while AWS CodeDeploy presents greater value for those leveraging the AWS suite.

To learn more, read our detailed AWS CodeDeploy vs. GitLab Report (Updated: December 2025).

AWS CodeDeploy vs. GitLab

December 2025

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Helped 881,082 peers since 2012

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 CodeDeploy

Ranking in Release Automation

4th

Average Rating

7.8

Reviews Sentiment

5.6

Number of Reviews

Ranking in other categories

No ranking in other categories

GitLab

Ranking in Release Automation

2nd

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Application Security Tools (11th), Build Automation (1st), Static Application Security Testing (SAST) (9th), 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 January 2026, in the Release Automation category, the mindshare of AWS CodeDeploy is 2.0%, down from 2.3% compared to the previous year. The mindshare of GitLab is 29.9%, down from 36.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Release Automation Market Share Distribution
Product	Market Share (%)
GitLab	29.9%
AWS CodeDeploy	2.0%
Other	68.1%

Release Automation

Featured Reviews

Mahadev Metre

DevOps Engineer at Paydoh

YAML configuration and cloud integration simplify tasks and enhance AWS resource flexibility

The features and capabilities of AWS CodeDeploy that I have found most valuable are that it is very user-friendly, and the codebase we can use there, specifically the tech stack, is YAML configuration. YAML is quite user-friendly itself, so if you just understand the basic concepts of YAML, then you're good to go. However, people face some problems with the YAML tech stack, as it is very strict with indentation and the placement of attributes. Overall, it's very strict with indentation and how it interprets our input. For example, in a stage where an environment is defined, there should be two spaces followed by an environment key and value. Knowing YAML is essential before working on AWS CodeDeploy, as the YAML file controls the service. AWS CodeDeploy's integration with other AWS services contributes significantly to scaling, monitoring, and security in my deployment processes by requiring IAM permissions. This is the only gateway for it to obtain permission to perform any tasks or triggers. One advantage we have with AWS CodeDeploy is its hassle-free accessibility through IAM roles and permissions. Being an AWS service, it operates on ARNs, which are identifiers. When we refer to these codes in IAM policies, we can give specific permissions while adhering to the least privileges rule of IAM. This makes it quite good and flexible with AWS resources, unlike third-party options.

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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

"CodeDeploy is quite easy to use within the AWS ecosystem."

"The biggest feature of AWS CodeDeploy is its scalability."

"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."

"One advantage we have with AWS CodeDeploy is its hassle-free accessibility through IAM roles and permissions, allowing us to give specific permissions while adhering to the least privileges rule of IAM."

"It is very flexible."

"CodeDeploy is very stable. I rate it a 10 for stability."

"The most valuable features of AWS CodeDeploy are its integration with other AWS services to deploy applications."

"Customer service was very helpful."

More AWS CodeDeploy pros

"The important feature is the entire process of versioning source code maintenance and easy deployment. It is a necessity for the CI/CD pipeline."

"A user friendly solution."

"It is user-friendly, easy to use, and easy to administer."

"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."

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

"GitLab's best features are continuous integration and fast deployment."

"The user interface is really good so that helps with huge teams who need to collaborate."

"We use GitLab in the new project for CI/CD, integration, and deployment."

More GitLab pros

Cons

"An improvement for the end users would be easier implementation, especially regarding local testing tools for deployment."

"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."

"There will always be room for improvement, however, I cannot think of any specific improvements at the moment."

"We have faced some issues and bugs along the way when it comes to stability."

"The documentation could be more detailed, especially for new users."

"An improvement for the end users would be easier implementation, especially regarding local testing tools for deployment."

"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."

"I faced some stability issues."

More AWS CodeDeploy cons

"We'd like to see better integration with the Atlassian ecosystem."

"The tool should include a feature that helps to edit the code directly."

"GitLab could improve the patch repository. It does not have support for Conan patch version regions. Additionally, better support for Kubernetes deployment is needed as part of the package."

"I would like to see security increased in the future. A secure environment is very important."

"The user interface could be more user-friendly. We do most of our operations through the website interface but it could be better."

"This solution could be improved by adding modifications such as slack notifications."

"GitLab could add a plugin to integrate with Kubernetes stuff."

"I'm new to GitLab, so I would appreciate more documentation about the code and commands."

More GitLab cons

Pricing and Cost Advice

"It is costly."

"The product is free with EC2."

"Since we are using a dedicated AWS environment, the solution's pricing is fine."

"AWS CodeDeploy has proven to be a cost-effective solution for us, especially considering the benefits we gain from using it. In terms of pricing, AWS is quite affordable, providing excellent value for the features and services it offers."

"The product's price is normal."

"I don't mind the price because I use the free version."

"On a scale of one to ten, where one is cheap, and ten is expensive, I rate the pricing a five out of ten."

"GitLab is an open-source solution."

"It seems reasonable. Our IT team manages the licenses."

"The solution's pricing is acceptable."

"The solution is based on a subscription model and is reasonably priced."

"This product is not very expensive but the price can be better."

"Regarding pricing, I would rate GitLab as moderately priced, maybe around a seven or eight out of ten. It could be more flexible for clients but generally offers good value."

More GitLab pricing and cost advice

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Use our free recommendation engine to learn which Release Automation solutions are best for your needs.

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

12%

Comms Service Provider

10%

University

Financial Services Firm

14%

Computer Software Company

12%

Government

11%

Manufacturing Company

11%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	4
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	36
Midsize Enterprise	10
Large Enterprise	46

Questions from the Community

What do you like most about AWS CodeDeploy?

Automation of Deployments

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

Evaluating cost, it is important to note that the services provided by CodeDeploy can be expensive to purchase from other cloud platforms. However, depending on the services, it might be worth the ...

What is your primary use case for AWS CodeDeploy?

My usual use cases for AWS CodeDeploy involve utilizing it as an AWS service, which is a subservice of CodePipeline. AWS CodePipeline is a whole package of services which consists of AWS CodeDeploy...

What do you like most about GitLab?

I find the features and version control history to be most valuable for our development workflow. These aspects provide us with a clear view of changes and help us manage requests efficiently.

What is your experience regarding pricing and costs for GitLab?

The setup cost was moderate and not very high. For GitLab SaaS, the initial setup cost was minimal, while self-managed GitLab involved infrastructure, VM storage backups, runner configuration, and ...

What needs improvement with GitLab?

A pain point I have encountered with GitLab is that large GitLab-ci.yml files become hard to read and maintain. YAML syntax is strict, and errors are easy to make, while debugging pipeline logic ca...

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Product Reports

Download AWS CodeDeploy product report

Release Automation

December 2025

Download GitLab product report

January 2026

Also Known As

No data available

Fuzzit

Overview

AWS CodeDeploy is a service that automates code deployments to any instance, including Amazon EC2 instances and instances running on-premises. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications. You can use AWS CodeDeploy to automate deployments, eliminating the need for error-prone manual operations, and the service scales with your infrastructure so you can easily deploy to one instance or thousands.

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