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AWS CodeDeploy vs Spinnaker 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
Spinnaker
Ranking in Release Automation
9th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Release Automation category, the mindshare of AWS CodeDeploy is 1.9%, down from 2.4% compared to the previous year. The mindshare of Spinnaker is 1.9%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation Market Share Distribution
ProductMarket Share (%)
AWS CodeDeploy1.9%
Spinnaker1.9%
Other96.2%
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.
Anurag Bandyopadhyay - PeerSpot reviewer
Product Development Engineer at Razorpay
Useful to create custom pipelines
Regarding areas for improvement, one significant issue is the lack of maker-checker flows to ensure that newly created pipelines are accurate and tested. We currently use an in-house abstraction over Spinnaker to verify pipeline specs, environment variables, etc. It would be beneficial if Spinnaker could offer this functionality within their product.

Quotes from Members

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

Pros

"Customer service was very helpful."
"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."
"I appreciate the feature for automating the deployment of code to the server."
"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."
"The most valuable features of AWS CodeDeploy are its integration with other AWS services to deploy applications."
"AWS CodeDeploy has positively impacted my organization by significantly reducing deployment times to achieve zero downtime during deployments."
"The biggest feature of AWS CodeDeploy is its scalability."
"Spinnaker is used for automating a variety of deployment tasks, infrastructure, provisioning tasks, and all kinds of things."
"There is a good community around the product that makes troubleshooting possible."
"The tool's most valuable feature is its intuitive interface for converting existing Kubernetes specs into working pipelines. It's easy for anyone to deploy anything on any environment when they need to test or deploy for a specific merchant or use case. Instead of going into the specs and changing different variables, they can do it through the UI, which is very useful."
"The most valuable feature of Spinnaker is the rollback."
 

Cons

"An improvement for the end users would be easier implementation, especially regarding local testing tools for deployment."
"There will always be room for improvement, however, I cannot think of any specific improvements at the moment."
"The documentation could be more detailed, especially for new users."
"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."
"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."
"We have faced some issues and bugs along the way when it comes to stability."
"Regarding areas for improvement, one significant issue is the lack of maker-checker flows to ensure that newly created pipelines are accurate and tested. We currently use an in-house abstraction over Spinnaker to verify pipeline specs, environment variables, etc. It would be beneficial if Spinnaker could offer this functionality within their product."
"Spinnaker's configuration setup is too complicated and should be made easy."
"Every time it goes to run a pipeline, it just generates a lot of data, and its database is not exactly tuned out of the box, meaning it is not tuned for high scalability."
"Log-wise, we need to understand why something has failed so that we can understand and try to fix it the moment the issue is reported. The solution could use more robust monitoring."
 

Pricing and Cost Advice

"Since we are using a dedicated AWS environment, the solution's pricing is fine."
"The product is free with EC2."
"It is costly."
"The product's price is normal."
"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."
"Spinnaker is a free-to-use, open-source solution."
"The solution is open-source."
"Spinnaker is an open-source product. The tool is completely free for users."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
12%
Comms Service Provider
10%
University
9%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise4
Large Enterprise5
No data available
 

Questions from the Community

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 needs improvement with Spinnaker?
Regarding areas for improvement, one significant issue is the lack of maker-checker flows to ensure that newly created pipelines are accurate and tested. We currently use an in-house abstraction ov...
What is your primary use case for Spinnaker?
Spinnaker's main use case is deployment. We use it to create custom pipelines instead of manually deploying our HAN files. This allows us to deploy different services for staging, production, and o...
 

Comparisons

 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Information Not Available
Find out what your peers are saying about AWS CodeDeploy vs. Spinnaker and other solutions. Updated: February 2026.
881,665 professionals have used our research since 2012.