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: September 2025).

AWS CodeDeploy 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 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

7.0

Number of Reviews

Ranking in other categories

Application Security Tools (11th), Build Automation (1st), Static Application Security Testing (SAST) (7th), Rapid Application Development Software (11th), Software Composition Analysis (SCA) (5th), Enterprise Agile Planning Tools (2nd), Fuzz Testing Tools (2nd), DevSecOps (1st)

Mindshare comparison

As of September 2025, in the Release Automation category, the mindshare of AWS CodeDeploy is 2.6%, up from 2.5% compared to the previous year. The mindshare of GitLab is 29.0%, down from 37.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Release Automation Market Share Distribution
Product	Market Share (%)
GitLab	29.0%
AWS CodeDeploy	2.6%
Other	68.4%

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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Rohit Kesharwani

Manager, Engineering at 7-Eleven

Improved agility and time to market with CI/CD enhancements

The CI/CD pipelines in GitLab are highly valuable. Another important feature is the single source of repository, allowing efficient repository management and source code management. GitLab provides manageability by allowing us to manage source code effectively through separate repositories. Additionally, GitLab enables the creation of individual CI/CD pipelines for each repository, making software more agile. By integrating GitLab as a DevOps platform, we have enhanced agility, improved our time to market, and different teams can work collaboratively on various projects.

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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

"It's just like every other AWS resource I use. It gets the job done."

"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."

"It is very flexible."

"I can integrate it with other AWS services."

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

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

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

"I would suggest using AWS CodeDeploy if your applications are on AWS cloud platform, as it integrates well with multiple AWS services and automates scalability and infrastructure management."

More AWS CodeDeploy pros

"We like that we can create branches and then the branches can be reviewed and you can mesh those branches back. You can independently work with your own branch, you don't need to really control the core of other people."

"The most valuable feature of GitLab is its convenience. I am able to trace back most of my changes up to a far distance in time and it helps me to analyze and see the older version of the code."

"The code merging capability is something that we use very frequently."

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

"I like that you can use GitLab as a double-sided solution for both DevOps and version management. It's a good product for working in these two areas, and the user interface makes it easy to understand."

"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."

"Git merging allows us to track the details of how and who has done what; this is the best feature which is useful for all companies."

"CI/CD is very good. The version control system is also good. These are the two features that we use."

More GitLab pros

Cons

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

"I faced some stability issues."

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

"Deployment and stability should be improved."

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

"AWS CodeDeploy's lack of ability to use independently without CodePipeline or CodeBuild makes it unstable."

"The support and those things are lacking compared to others."

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

More AWS CodeDeploy cons

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

"There is room for improvement in GitLab Agents."

"It has fewer options, and its UI is not so user-friendly."

"It can be free for commercial use."

"The self-hosted version of GitLab is not very stable when under load. It slows down and requires restarts every few days."

"In the free version, when a merge request is raised, there is no way to enforce certain rules. We can't enforce that this merge request must be reviewed or approved by two or three people in the team before it is pushed to the master branch. That's why we are exploring using some agents."

"We'd always like to see better pricing on the product."

"Even if I say I want some improvement, they will say it is already planned in the first quarter, second quarter, or third quarter. That said, most everything is quite improved already, and they're improving even further still."

More GitLab cons

Pricing and Cost Advice

"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 is free with EC2."

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

"It is costly."

"The product's price is normal."

"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."

"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."

"The solution is free."

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

"The initial setup cost is excellent and you can add the premium features later."

"This is an open-source solution."

"GitLab is an open-source solution."

"We are currently using the open-source version."

More GitLab pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

15%

Financial Services Firm

13%

University

Manufacturing Company

Financial Services Firm

14%

Computer Software Company

13%

Government

11%

Manufacturing Company

10%

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	35
Midsize Enterprise	9
Large Enterprise	42

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 pricing and cost are on par with other tools and are neither too expensive nor cheap.

What needs improvement with GitLab?

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

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Product Reports

Release Automation

Download AWS CodeDeploy product report

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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

AWS CodeDeploy vs. GitLab