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Amazon EKS vs Google Kubernetes Engine comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 13, 2024

Review summaries and opinions

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

ROI

Sentiment score
3.3
Amazon EKS provides cost-effective cloud solutions with substantial savings, efficient scaling, and dynamic workload management, despite some EC2 cost concerns.
Sentiment score
6.1
Google Kubernetes Engine delivers positive ROI by reducing costs and improving efficiency, despite being costly for some services.
Initially, not having them resulted in an unoptimized solution. However, with these tools in place, we witnessed a reduction of costs by approximately a third—if it was $100 beforehand, we brought costs down to $25.
We have cost explorer available, and a bill forecast based on usage allows us to determine whether resources are underutilized or overutilized.
It's a fast deployment, with very good documentation, and it's really helpful.
By migrating from AWS to Google Cloud Platform, we have saved a lot of time and money.
 

Customer Service

Sentiment score
6.0
Amazon EKS support is responsive and helpful, especially for paid plans, but non-paying users may experience slower response times.
Sentiment score
3.7
Google Kubernetes Engine support varies; some users rely on forums, while others suggest improvements in response time and professionalism.
We didn't need to manage etcd and those control management tools; it's totally handled from the AWS side, making it very beneficial.
I believe there should be a recovery solution available for at least a few hours so that we might bring it back.
They will set up a call, guide us, or provide solutions regarding integration with AWS or Amazon EKS.
 

Scalability Issues

Sentiment score
5.4
Amazon EKS is praised for its scalability, cost efficiency, flexibility, and effective multi-region and resource management capabilities.
Sentiment score
6.0
Google Kubernetes Engine is praised for its scalability, efficient for microservices, with dynamic auto-scaling adjusting to organizational needs.
The ability to scale based on requirements by deploying additional containers is a strong point for Kubernetes.
This allows us to scale our applications or APIs as needed, offering reliability through the automation of scaling processes.
If any node is not ready, the cluster autoscaler ensures that it is removed from the AWS auto-scaling group and replaces it with a new node in the cluster.
The autoscaling capabilities of Google Kubernetes Engine have significantly impacted our operations.
 

Stability Issues

Sentiment score
6.4
Amazon EKS is praised for stability, reliability, and effective AWS support despite minor connectivity challenges, rating 8-10 by users.
Sentiment score
7.5
Google Kubernetes Engine is highly stable, effectively managing demands with regular updates and scalable architecture for reliable operations.
There are multiple availability zones in the regions, meaning no single point of failure.
The control plane is quite stable in Amazon EKS, and I find it to be 100% available.
We haven't faced any challenges, and it consistently delivers on its committed SLA.
If I have 100 replicas of containers and the traffic suddenly pushes to 1,000 within a fraction of a second, the selected machine type must be fast.
 

Room For Improvement

Amazon EKS needs improvements in setup, support, integration, security, and automation to enhance functionality and user experience.
Google Kubernetes Engine needs enhancements in security, user interface, scalability, pricing, and third-party integration for optimal performance.
Simplifying these will enable more people, not just those with strong foundational knowledge, to work effectively with these services.
Amazon EKS can be improved by having the maintenance of Kubernetes versions managed better, as everything is handled by the Kubernetes team and possibly a separate team at AWS.
Adding logging would be a valuable improvement.
When looking at the web interface, it feels kind of slow due to the many features involved.
Log observability could be made easier so someone from high school can use it without having technological expertise.
It would be helpful if I could easily find log information in a particular namespace without needing to write certain labels.
 

Setup Cost

Amazon EKS offers a scalable, pay-as-you-go model, appealing to enterprises but potentially expensive for startups.
Google Kubernetes Engine uses pay-as-you-go pricing, competitive with AWS, considering machine specs, compute resources, and optional GPUs.
The EKS service itself is free, but you will incur costs for the VMs used as nodes in that cluster.
If you want to monitor costs effectively, applying separate tools and acting accordingly in advance is essential.
The pricing structure is beneficial for large companies who pay for what they use, but it is not affordable for startups.
Instead, we only pay for the hardware we use, which results in cost-cutting.
Google is considered cheaper compared to AWS, making it suitable for smaller to medium companies concerning cost.
The on-demand nodes are quite expensive.
 

Valuable Features

Amazon EKS offers scalable, cost-effective Kubernetes management with security, ideal for cloud-native applications through easy integrations and auto-scaling.
Google Kubernetes Engine offers seamless autoscaling, multi-cloud support, robust security, and easy cluster management for enhanced performance and reliability.
The most beneficial aspect of Amazon EKS is that it helps manage the Kubernetes master node, so I don't need to maintain the master node, including tasks like upgrading.
The main benefits that I received from using Amazon EKS are that it is a managed cluster and offers simplicity.
By default, if you just install Amazon EKS, you can deploy your application, but to have it enterprise-ready, you have to configure a number of other things that will boost productivity.
The most valuable aspect of Google Kubernetes Engine (GKE) is its managed nature, which significantly reduces the burden on our platform team.
GKE is easier to understand and use than Elastic Kubernetes Service.
What I find most valuable is the ability to focus solely on my product without worrying about the Kubernetes infrastructure itself.
 

Categories and Ranking

Amazon EKS
Ranking in Container Management
2nd
Average Rating
8.4
Reviews Sentiment
6.1
Number of Reviews
90
Ranking in other categories
Container Security (12th)
Google Kubernetes Engine
Ranking in Container Management
10th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
39
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Container Management category, the mindshare of Amazon EKS is 11.9%, down from 14.1% compared to the previous year. The mindshare of Google Kubernetes Engine is 2.1%, down from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Container Management Market Share Distribution
ProductMarket Share (%)
Amazon EKS11.9%
Google Kubernetes Engine2.1%
Other86.0%
Container Management
 

Featured Reviews

Mahesh Dash - PeerSpot reviewer
Has enabled seamless infrastructure configuration while improving identity integration and monitoring capabilities
It has been since 2019 that I started using Amazon EKS. At that time, it was completely new, and many people were not using it just yet; it started from version 1.21, and right now we are on 1.33. Recently, 1.34 has been launched, but it's not yet available in the service catalog; we can see only 1.33. A lot of improvements have been made. We had numerous add-ons to install manually because Kubernetes is a completely different service than AWS cloud provider, and everyone has opted to use it. After opting, there is an identity that you have to maintain—one at Kubernetes level and one at the AWS provider level. You have to maintain one identity at IAM level and one within the cluster, Amazon EKS. A few things do not make sense within the add-ons, many of the secret providers that read the secret from Secrets Manager and then mount it as a volume. We use a service called EBS CSI driver, which reads the secrets or sensitive data from Secrets Manager and then mounts it as a volume to the pod at runtime. However, that doesn't have a dynamic feature where, if any changes happen in the secrets, it can read and populate in the environment. Sometimes consider your RDS password or OpenSearch password rotates. Amazon EKS doesn't have that feature to read the dynamic one and consider that the password has changed overnight; there is no functionality from the provider to see the changes and then restart the pod or fetch the new value. This often leads to downtime of 12 or even 6 hours, depending on when you realize it, so that needs improvement. Nonetheless, mostly on the add-on side, they have developed a lot; earlier we were installing them manually, but now with EKS auto mode, many things VPC CLI and pod identity service—around four plugins—are installed by default, which is a good thing. However, I believe there should be some solution that is self-contained, covering generic use cases. With the 1.33 release, they have addressed most of my earlier concerns, but I am still looking for some improvements, particularly in CloudWatch monitoring. In IT, we manage two aspects: either the system or the application. Currently, the application logs and monitoring are not very robust in CloudWatch; you can only find things if you are familiar with them. Fortunately, we are familiar, as most of the monitoring involves two types of databases: one is a time series for monitoring data, and the other is an indexing solution for a streaming service. This means we need to get the logs from each node, index them, and populate them on a screen. That part remains a separate service, but if they managed it within Amazon EKS service, where the monitoring is consolidated in one place, you wouldn't need to rely on Prometheus, Grafana, or different services. It would be advantageous to have a consolidated platform for EKS, as Kubernetes is leveraged; monitoring and logging should also be integrated simply by enabling parameters or tags. This would create a self-contained platform where people can onboard and start using it. Currently, I still need to enable logging and monitoring among other things myself; that shouldn't be the case after six or seven years in the market. On a scale from 1 to 10, I would rate Amazon EKS tech support an eight. Some individuals have a deep understanding of the services and can identify potential bottlenecks, especially with load balancer endpoints and certificate management. The shift from NGINX to AWS load balancers has diminished many previous issues. However, not every support engineer meets the same level of expertise, hence why I rate it a solid eight, which I consider decent.
Parthasarathy T - PeerSpot reviewer
Managed solutions enable efficient handling of web applications and migration projects
Google Kubernetes Engine can be improved by enabling the in-place upgrade of the machine type of an existing node pool since I currently need to destroy and recreate it. There is no feature present where I can upgrade directly, and having more than 1,000 to 2,000 workloads in one node pool makes changing the node pool name difficult for all those workloads. I choose eight out of ten mainly because of the node pool upgrade challenge I mentioned, but also because of the existence of Anthos service mesh, which is the ingress controller available only for the enterprise Kubernetes Engine. It would be beneficial if it could be offered in the normal Kubernetes Engine with any limitations.
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
11%
Insurance Company
7%
Manufacturing Company
6%
Financial Services Firm
25%
Computer Software Company
10%
Retailer
8%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise18
Large Enterprise38
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise6
Large Enterprise15
 

Questions from the Community

What do you like most about Amazon EKS?
The product's most valuable features are scalability, observability, and performance.
What is your experience regarding pricing and costs for Amazon EKS?
My opinion on the pricing and licensing of Amazon EKS is that it is quite varied, especially when doing projects in the African continent. It's quite expensive considering the local currency with r...
What needs improvement with Amazon EKS?
When we need to deploy the application, we require a large number of instances. Therefore, I hope and believe I will not face out-of-capacity issues in AWS, especially since I have not yet experien...
What is your experience regarding pricing and costs for Google Kubernetes Engine?
My experience with pricing, setup cost, and licensing for Google Kubernetes Engine is straightforward, as I previously indicated. The need for humans is reduced with GCP since there is no need for ...
What needs improvement with Google Kubernetes Engine?
Google Kubernetes Engine can be improved by enabling the in-place upgrade of the machine type of an existing node pool since I currently need to destroy and recreate it. There is no feature present...
 

Also Known As

Amazon Elastic Kubernetes Service
GKE
 

Overview

 

Sample Customers

GoDaddy, Pearson, FICO, Intuit, Verizon, Honeywell, Logicworks, RetailMeNot, LogMeIn, Conde Nast, mercari, Trainline, Axway
Philips Lighting, Alpha Vertex, GroupBy, BQ
Find out what your peers are saying about Amazon EKS vs. Google Kubernetes Engine and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.