Amazon Web Services vs. Google Kubernetes Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Web Services
Score 8.5 out of 10
N/A
Amazon Web Services (AWS) is a subsidiary of Amazon that provides on-demand cloud computing services. With over 165 services offered, AWS services can provide users with a comprehensive suite of infrastructure and computing building blocks and tools.
$100
per month
Google Kubernetes Engine
Score 7.6 out of 10
N/A
Google Kubernetes Engine supplies containerized application management powered by Kubernetes which includes Google Cloud services including load balancing, automatic scaling and upgrade, and other Google Cloud services.
$0.04
vCPU-hr Autopilot Mode
Pricing
Amazon Web ServicesGoogle Kubernetes Engine
Editions & Modules
Free Tier
$0
per month
Basic Environment
$100 - $200
per month
Intermediate Environment
$250 - $600
per month
Advanced Environment
$600-$2500
per month
Autopilot Mode - 3 year commitment price (USD)
$0
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0000438
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Regular Price
$0.0000548
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Spot Price
$0.0000548
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Spot Price
$0.0014767
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - 3 year commitment price (USD)
$0
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0039380
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - Regular Price
$0.0049225
GKE Autopilot Price GB-hr
Autopilot Mode - Spot Price
$0.0133
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - 3 year commitment price (USD)
$0.02
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0356000
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - Regular Price
$0.0445
vCPU Price vCPU-hr
Standard Mode
$0.10
per hour
Cluster Management
$0.10
per cluster per hour
Cluster Management
$74.40 monthly credit
per month per hour
Standard Mode - Free Version
Free
per hour
Offerings
Pricing Offerings
Amazon Web ServicesGoogle Kubernetes Engine
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsAWS allows a “save when you commit” option that offers lower prices when you sign up for a 1- or 3- year term that includes an AWS service or category of services.
More Pricing Information
Community Pulse
Amazon Web ServicesGoogle Kubernetes Engine
Considered Both Products
Amazon Web Services

No answer on this topic

Google Kubernetes Engine
Chose Google Kubernetes Engine
Our organization went with Google's Kubernetes Engine because we are already significantly invested in the Google Cloud Platform. In our evaluation of Amazon's Elastic Kubernetes Service we were turned off by recent concerns about Amazon becoming overly dominant in the cloud …
Features
Amazon Web ServicesGoogle Kubernetes Engine
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Amazon Web Services
8.4
78 Ratings
2% above category average
Google Kubernetes Engine
-
Ratings
Service-level Agreement (SLA) uptime9.172 Ratings00 Ratings
Dynamic scaling8.873 Ratings00 Ratings
Elastic load balancing9.369 Ratings00 Ratings
Pre-configured templates7.166 Ratings00 Ratings
Monitoring tools8.473 Ratings00 Ratings
Pre-defined machine images8.366 Ratings00 Ratings
Operating system support7.972 Ratings00 Ratings
Security controls8.674 Ratings00 Ratings
Automation8.325 Ratings00 Ratings
Container Management
Comparison of Container Management features of Product A and Product B
Amazon Web Services
-
Ratings
Google Kubernetes Engine
8.6
1 Ratings
6% above category average
Security and Isolation00 Ratings7.01 Ratings
Container Orchestration00 Ratings10.01 Ratings
Cluster Management00 Ratings10.01 Ratings
Storage Management00 Ratings8.01 Ratings
Resource Allocation and Optimization00 Ratings9.01 Ratings
Discovery Tools00 Ratings6.01 Ratings
Update Rollouts and Rollbacks00 Ratings10.01 Ratings
Self-Healing and Recovery00 Ratings9.01 Ratings
Analytics, Monitoring, and Logging00 Ratings8.01 Ratings
Best Alternatives
Amazon Web ServicesGoogle Kubernetes Engine
Small Businesses
DigitalOcean Droplets
DigitalOcean Droplets
Score 9.4 out of 10
Portainer
Portainer
Score 9.0 out of 10
Medium-sized Companies
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.0 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
Enterprises
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.0 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon Web ServicesGoogle Kubernetes Engine
Likelihood to Recommend
8.0
(90 ratings)
8.0
(8 ratings)
Likelihood to Renew
9.4
(10 ratings)
-
(0 ratings)
Usability
7.8
(21 ratings)
8.0
(4 ratings)
Availability
9.0
(1 ratings)
-
(0 ratings)
Support Rating
7.2
(24 ratings)
9.0
(5 ratings)
Online Training
7.0
(1 ratings)
-
(0 ratings)
Implementation Rating
10.0
(3 ratings)
-
(0 ratings)
Professional Services
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
Amazon Web ServicesGoogle Kubernetes Engine
Likelihood to Recommend
Amazon AWS
This is something that is actually common across most cloud providers. A comprehensive understanding of one's use cases, constraints and future directions is key to determining if you even need a cloud solution. If you are a 2-person startup developing something with a best-scenario audience of 1k DAU in a year, you would very likely best served by a dirt-cheap dedicated Linux server somewhere (and your options to graduate to a cloud solution will still be open). If, however, you are a bigger fish, and/or you are actively considering build-vs-buy decisions for complicated, highly-loaded, six-figure requests per minute systems, global loadbalancing, extreme growth projections - then MAYBE you solve all or part of it with a cloud provider. And depending on your taste for risk, reliability, flexibility, track record - it might be AWS.
Read full review
Google
If your application is complex, if it's planet-scale, or if you need autoscaling, then Kubernetes is best suited. If your application is straightforward, you can opt for App Engine or Cloud Run. In many cases, you can prefer to run the cloud on GKE. But once you deploy on Kubernetes, you get the flexibility to try different things. But if you don't seek flexibility, it's not an option for you.
Read full review
Pros
Amazon AWS
  • During the month-end, we experience high resource utilization; however, with AWS's scalability, we can effectively tackle the peak load.
  • With AWS IAM, we don't need to set up complete infrastructure for identity and access management, as AWS provides end-to-end IAM services.
  • With AWS, development has become very easy as it's very quick to spin up and destroy the environment, which saves costs.
Read full review
Google
  • Engine upgrade rollout strategy - well documented and configurable
  • Integration with other Google Cloud services like the Compute Engine, SaaS databases, and some cloud networking like Cloud Armor
  • Graphical interface for a lot of operations - either for a quick peek/overview or actual work done by administrators and/or developers (via the Google Cloud Console, for example)
Read full review
Cons
Amazon AWS
  • When there is any misconfiguration of EC2 related to SSM Connect. It doesn't clearly states that what particular configuration is missing.
  • Debugging networking related issues could be improved.
  • From the security group page, it's difficult to determine which resource a security group is associated with.
Read full review
Google
  • Support of IPv6.
  • Better GitOps.
  • A "serverless" Kubernetes so we can install Google config connector will be really awesome.
  • Container-native load balancers do not support internal TCP/UDP load balancers or network load balancers.
Read full review
Likelihood to Renew
Amazon AWS
We are almost entirely satisfied with the service. In order to move off it, we'd have to build for ourselves many of the services that AWS provides and the cost would be prohibitive. Although there are cost savings and security benefits to returning to the colo facility, we could never afford to do it, and we'd hate to give up the innovation and constant cycle of new features that AWS gives us.
Read full review
Google
No answers on this topic
Usability
Amazon AWS
AWS offers a wide range of powerful services that cater to various business needs which is significant strength. The ability to scale resources on-demand is a major advantage making it suitable for businesses of all sizes. The sheer volume of options and configurations can be overwhelming for new users leading to a steep learning curve. While functional the AWS management console can feel cluttered and less intuitive compared to some competitors which can hinder navigation. Although some documentation lacks clarity and practical examples which can frustrate users trying to implement specific solutions.
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Google
  • Google Kubernetes Engine has a good UI and documentation that facilitates setup and helps get projects moving along quickly
  • Its built-in logging integrations with StackDriver make it easier to monitor the application and log issues quickly
  • Automated orchestration, deployment, and scaling of nodes and networking are all easily configurable with yaml files
Read full review
Reliability and Availability
Amazon AWS
Availability is very good, with the exception of occasional spectacular outages.
Read full review
Google
No answers on this topic
Performance
Amazon AWS
AWS does not provide the raw performance that you can get by building your own custom infrastructure. However, it is often the case that the benefits of specialized, high-performance hardware do not necessarily outweigh the significant extra cost and risk. Performance as perceived by the user is very different from raw throughput.
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Google
No answers on this topic
Support Rating
Amazon AWS
The customer support of Amazon Web Services are quick in their responses. I appreciate its entire team, which works amazingly, and provides professional support. AWS is a great tool, indeed, to provide customers a suitable way to
immediately search for their compatible software's and also to guide them in a
good direction. Moreover, this product is a good suggestion for every type of
company because of its affordability and ease of use.
Read full review
Google
Very good Kubernetes distribution with a reasonable total price. Integration with storage and load balancer for ingress and services speed up every process deployment.
Read full review
Implementation Rating
Amazon AWS
The API's were very well documented and was Janova's main point of entry into the services.
Read full review
Google
No answers on this topic
Alternatives Considered
Amazon AWS
Amazon Web Services fits best for all levels of organisations like startup, mid level or enterprise. The services are easy to use and doesn't require a high level of understanding as you can learn via blogs or youtube videos. AWS is Reasonable in cost as the plan is pay as you use.
Read full review
Google
GKE spins up new nodes a LOT faster than AKS. GKE's auto scaler runs a lot smoother than AKS. GKE has a lot more Kubernetes features baked in natively.
Read full review
Professional Services
Amazon AWS
No answers on this topic
Google
  • When issues came up, we reached out to some folks at GCP and they seemed to be very prompt and attentive to our needs. They were always willing to help and provide additional details or recommendations or links to resources. This kind of support is very helpful as it allows us to navigate GKE with more confidence.
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Return on Investment
Amazon AWS
  • Using Amazon Web Services has allowed us to develop and deploy new SAAS solutions quicker than we did when we used traditional web hosting. This has allowed us to grow our service offerings to clients and also add more value to our existing services.
  • Having AWS deployed has also allowed our development team to focus on delivering high-quality software without worrying about whether our servers will be able to handle the demand. Since AWS allows you to adjust your server needs based on demand, we can easily assign a faster server instance to ease and improve service without the client even knowing what we did.
Read full review
Google
  • Reduced cloud computing costs.
  • Easier management of applications.
  • Extra time investment to learn how to setup applications in Google versus Amazon.
Read full review
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