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AWS CodeDeploy vs GitLab comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 7, 2025

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
5.3
Number of Reviews
15
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
91
Ranking in other categories
Application Security Tools (7th), Build Automation (3rd), Static Application Security Testing (SAST) (4th), Rapid Application Development Software (12th), Software Composition Analysis (SCA) (4th), Enterprise Agile Planning Tools (2nd), Fuzz Testing Tools (2nd), DevSecOps (1st)
 

Mindshare comparison

As of August 2026, in the Release Automation category, the mindshare of AWS CodeDeploy is 2.3%, down from 2.7% compared to the previous year. The mindshare of GitLab is 22.7%, down from 30.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation Mindshare Distribution
ProductMindshare (%)
GitLab22.7%
AWS CodeDeploy2.3%
Other75.0%
Release Automation
 

Featured Reviews

Harsh Shrivastava - PeerSpot reviewer
Senior Software Engineer at Thomson Reuters
Automated deployments have reduced downtime and now deliver faster, consistent releases
AWS CodeDeploy offers several valuable features, including deployment to fleets of EC2 servers, on-premises servers deployed to data center infrastructure, AWS Lambda for serverless function updates, and Amazon ECS for containerized applications. The feature I use most frequently is deployment to Amazon EC2 instances, where I deploy backend services to EC2 servers, enabling zero-downtime deployment. AWS CodeDeploy supports rolling updates, blue-green deployments, and canary deployments to minimize or eliminate downtime. Additional standout features include consistent deployments across environments, the ability to deploy to development, staging, and production environments, centralized control, integration with CI/CD pipelines, and automatic rollback. AWS CodeDeploy has positively impacted my organization by significantly reducing deployment times to achieve zero downtime during deployments. Generally, it takes very little time for backend services to be deployed to EC2 instances.
BasilJiji - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"I can integrate it with other AWS services."
"I appreciate the feature for automating the deployment of code to the server."
"Customer service was very helpful."
"You can easily integrate AWS CodeDeploy with multiple services."
"The biggest feature of AWS CodeDeploy is its scalability."
"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."
"The product is easy to use."
"This is a scalable solution. We had around 200 users working with it."
"The most valuable features of GitLab are the CI/CD pipeline and code management."
"Git hosting has an integration with ACD which is why we liked this solution in the first place."
"I have found the most valuable feature is security control. I also like the branching and cloning software."
"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."
"GitLab has repository and deployment features that are integrated into one solution, which is its most valuable feature."
"Using GitLab is important to help provide a more secure and reliable environment for developers working with information in the cloud."
"Their CI/CD engine is very mature. It's very comprehensive and flexible, and compared to other projects, I believe that GitLab is number one right now from that perspective."
 

Cons

"In terms of pricing and return on investment with AWS CodeDeploy, I reflect on the initial period where we faced numerous errors and troubleshooting challenges, resulting in significant bills."
"We have faced some issues and bugs along the way when it comes to stability."
"I faced some stability issues."
"The documentation could be more detailed, especially for new users."
"AWS CodeDeploy doesn't provide multiple plugins like Jenkins, which is a shortcoming where improvements are required."
"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 support and those things are lacking compared to others."
"There will always be room for improvement, however, I cannot think of any specific improvements at the moment."
"The self-hosted version of GitLab is not very stable when under load. It slows down and requires restarts every few days."
"The installation can be difficult. You need to get used to the markdown files, the tutorials that are offered are not the best."
"GitLab can improve by integrating with more tools, such as servers with Docker."
"Their RBAC is role-based access, which is fine but not very good."
"As a partner, sometimes it's difficult to get support. They have a really complicated procedure for their support."
"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."
"GitLab's UI could be improved."
"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."
 

Pricing and Cost Advice

"The product's price is normal."
"The product is free with EC2."
"Since we are using a dedicated AWS environment, the solution's pricing is fine."
"It is costly."
"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 solution is based on a subscription model and is reasonably priced."
"The open-source version is very good and the commercial version is reasonably priced."
"We are using the open-source version."
"The price is okay."
"GitLab is highly priced for smaller teams, but it's okay if considering a user base of thousands."
"GitLab is a free solution to use."
"GitLab is an open-source solution."
"The initial setup cost is excellent and you can add the premium features later."
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Construction Company
18%
Comms Service Provider
15%
Outsourcing Company
10%
Financial Services Firm
14%
Manufacturing Company
10%
Government
9%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise3
Large Enterprise5
By reviewers
Company SizeCount
Small Business38
Midsize Enterprise10
Large Enterprise49
 

Questions from the Community

What is your experience regarding pricing and costs for AWS CodeDeploy?
The pricing for AWS CodeDeploy has been quite reasonable. It is better compared to peers like Azure, and the licensing cost and setup cost are both quite good for AWS.
What is your primary use case for AWS CodeDeploy?
AWS CodeDeploy is a deployment service that automates application deployments to various compute services. My main use cases include automated application deployments to Amazon EC2 instances, on-pr...
What advice do you have for others considering AWS CodeDeploy?
My advice to others looking into using AWS CodeDeploy is to use it to maximize capabilities in terms of reducing deployment times. It scales with infrastructure so you can deploy to one instance or...
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...
 

Comparisons

 

Also Known As

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Fuzzit
 

Overview

 

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
Find out what your peers are saying about AWS CodeDeploy vs. GitLab and other solutions. Updated: August 2026.
908,877 professionals have used our research since 2012.