Google Kubernetes Engine vs Spot comparison

The compared Google and Spot solutions aren't in the same category. Google is ranked #11 in CM , with an average rating of 8.1, and holds a 2.3% mindshare in the category. Spot is ranked #5 in CA , with an average rating of 7.0, and holds a 18.1% mindshare. Additionally, 95% of Google users are willing to recommend the solution, compared to 100% of Spot users who would recommend it.

Google Kubernetes Engine

Read 39 Google Kubernetes Engine reviews

1,235 Views
840 Comparison Views

95% willing to recommend

Spot

Read 2 Spot reviews

1,121 Views
90 Comparison Views

100% willing to recommend

Google Kubernetes Engine

Spot

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Executive Summary

We performed a comparison between Google Kubernetes Engine and Spot based on real PeerSpot user reviews.

Find out what your peers are saying about Red Hat, Amazon Web Services (AWS), VMware and others in Container Management.

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Buyer's Guide

Container Management

July 2025

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Helped 865,649 peers since 2012

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

Google Kubernetes Engine

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Container Management (11th)

Spot

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Management (32nd), Server Virtualization Software (15th), Cloud Operations Analytics (1st), Cloud Analytics (5th), Compute Service (11th), Containers as a Service (CaaS) (6th), Cloud Cost Management (8th)

Mindshare comparison

Google Kubernetes Engine and Spot aren’t in the same category and serve different purposes. Google Kubernetes Engine is designed for Container Management and holds a mindshare of 2.3%, down 2.5% compared to last year.
Spot, on the other hand, focuses on Cloud Analytics, holds 18.1% mindshare, up 6.9% since last year.

Container Management

Cloud Analytics

Featured Reviews

Parthasarathy T

Cloud Associate DevOps at Publicis Sapient

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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Manpreet_Singh

Senior Principal Infrastructure Engineer at Mphasis

Used to manage Kubernetes infrastructure, but it doesn't have support from OCI

Spot Ocean is deployed on the cloud in our organization. I would recommend the solution to other users. You need to have an experience with Kubernetes, or else this product is of no use. It is not difficult to learn to use Spot Ocean. Overall, I rate the solution a seven out of ten.

Read full review

Quotes from Members

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

Pros

"The product has valuable security features. It can connect with multiple DevOps tools."

"Google Kubernetes Engine's most valuable features are microservices and its acquisition rate, which is very useful for scaling perspective."

"Its functionalities, such as computing the namespaces, clusters, pods, and restart logs, are easy to use."

"The most valuable aspect of Google Kubernetes Engine (GKE) is its managed nature, which significantly reduces the burden on our platform team."

"The solution simplified deployment, making it more automated. Previously, Docker required manual configuration, often done by developers on their computers. However, with Google Kubernetes Engine, automation extends to configuration, deployment, scalability, and viability, primarily originating from Docker rather than Kubernetes. Its most valuable feature is the ease of configuration."

"The feature that I like the most is the ease of use as compared to AWS. Its ease of use is very high, and I can quickly deploy clusters with a simple template."

"The most valuable feature of Google Kubernetes Engine is how you can automatically scale and load balance."

"Google Kubernetes Engine (GKE) takes care of managing Kubernetes, including the main control plane. It also offers solutions for monitoring resources and handling external traffic, which is essential for us. Being a cloud-native solution, it relieves us from worrying about these operational aspects."

More Google Kubernetes Engine pros

"The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow."

"The solution offers both block access and file access, making it a nice solution for customers."

Cons

"I think that security is an important point, and there should be additional features for the evaluation of data in containers that will create a more secure environment for usage in multi-parent models."

"Our critique is that we have to do too much work to get the cluster production-ready."

"I would rate the scalability a seven out of ten."

"The solution does not have a visual interface."

"While the GKE cluster is secure, application-level security is an essential aspect that needs to be addressed. The security provided by GKE includes the security of communication between nodes within the cluster and the basic features of Kubernetes security. However, these features may not be sufficient for the security needs of an enterprise. Additional security measures must be added to ensure adequate protection. It has become a common practice to deploy security tools within a Kubernetes cluster. It would be ideal if these tools were included as part of the package, as this is a standard requirement in the industry. Thus, application-level security should be integrated into GKE for improved security measures."

"t is not very stable."

"The management UI could be improved. When looking at the web interface, it feels kind of slow due to the many features involved."

"The product's stability is an area of concern where improvements are required."

More Google Kubernetes Engine cons

"There are no particular areas for improvement I can identify."

"The solution doesn't have support from OCI, and it should start working to onboard OCI."

Pricing and Cost Advice

"We are planning to use external support, and hire a commercial partner for it."

"Pricing is a bit expensive compared to some other products, but it's acceptable."

"This is an open source solution, so there is no pricing or licensing."

"The price for Google Kubernetes Engine could be lower - I'd rate its pricing at three out of five."

"It is competitive, and it is not expensive. It is almost competitive with AWS and the rest of the cloud solutions. We are spending around 3K USD per month. There are four projects that are currently running, and each one is incurring a cost of around 3K USD."

"The solution's price is reasonable."

"The pricing for GKE is dependent on the type of machine or virtual machine (VM) that is selected for the nodes in the cluster. There is a degree of flexibility in choosing the specifications of the machine, such as the number of CPUs, GPUs, and so on. Google provides a variety of options, allowing the user to create the desired cluster composition. However, the cost can be quite steep when it comes to regional clusters, which are necessary for high availability and failover. This redundancy is crucial for businesses and is required to handle an increase in requests in case of any issues in one region, such as jumping to a different region in case of a failure in the Toronto region. While it may be tempting to choose the cheapest type of machines, this may result in a limited capacity and user numbers, requiring over-provisioning to handle additional requests, such as those for a web application."

"Its pricing is good. They bill us only per user. That's nice."

More Google Kubernetes Engine pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

23%

Computer Software Company

10%

Retailer

Manufacturing Company

20%

Computer Software Company

16%

Financial Services Firm

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Google Kubernetes Engine?

The product has no downtime.

See all answers

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 ...

See all answers

What needs improvement with Google Kubernetes Engine?

See all answers

What do you like most about Spot Ocean?

The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow.

See all answers

What needs improvement with Spot Ocean?

There are no particular areas for improvement I can identify.

See all answers

What is your primary use case for Spot Ocean?

Spot by NetApp is primarily used for backup and also for Fiservware.

See all answers

Comparisons

Red Hat OpenShift Container Platform vs Google Kubernetes Engine

Compared 24% of the time

Akamai Connected Cloud (Linode) vs Google Kubernetes Engine

Compared 16% of the time

VMware Tanzu Platform vs Google Kubernetes Engine

Compared 14% of the time

Docker vs Google Kubernetes Engine

Compared 12% of the time

Rancher Labs vs Google Kubernetes Engine

Compared 11% of the time

More Google Kubernetes Engine Competitors

ProsperOps vs Spot

Compared 18% of the time

IBM Turbonomic vs Spot

Compared 16% of the time

Flexera Cloud Cost Management vs Spot

Compared 14% of the time

Flexera Cloud Management Platform (CMP) vs Spot

Compared 11% of the time

Cloudability vs Spot

Compared 11% of the time

More Spot Competitors

Product Reports

Buyer's Guide

Google Kubernetes Engine

August 2025

Download Google Kubernetes Engine product report

Buyer's Guide

Cloud Analytics

August 2025

Download Spot product report

Also Known As

GKE

Spot Ocean, Spot Elastigroup, Spot Eco

Overview

Kubernetes Engine is a managed, production-ready environment for deploying containerized applications. It brings our latest innovations in developer productivity, resource efficiency, automated operations, and open source flexibility to accelerate your time to market.

Google

Spot provides dynamic workload management for cloud environments, offering cost optimization and enhanced performance. It stands out with its unique approach to managing resources efficiently.

Spot is designed to enhance cloud resource utilization and cost-effectiveness through intelligent workload management. With real-time analysis, Spot determines and deploys the most efficient resources, ensuring optimal performance for applications. Businesses benefit from reduced cloud expenses and increased operational efficiency, making it an essential tool for managing cloud infrastructure effectively.

What are the key features of Spot?

Automated Scaling: Automatically adjusts cloud resources based on demand and usage patterns.
Real-Time Monitoring: Provides continuous oversight to ensure optimal performance and operational efficiency.
Cost Optimization: Reduces expenses by utilizing spot instances and leveraging cost-effective cloud resources.
Seamless Integration: Easily integrates with existing cloud services and infrastructures.

What benefits should users look for in Spot?

Cost Reduction: Users can expect to see a significant decrease in cloud expenses.
Improved Efficiency: Enhancements in operational processes and workload management.
Resource Optimization: Better allocation and usage of cloud resources.
Scalability: Capability to handle increasing amounts of work effectively.

In finance, Spot ensures cost-effective cloud computing for trading platforms, while in e-commerce, it dynamically manages back-end processes. In the entertainment industry, Spot optimizes media streaming by deploying resources when user demand spikes. Each industry leverages Spot to maximize performance and minimize operational costs, demonstrating its versatility and reliability across sectors.

Spot

Sample Customers

Philips Lighting, Alpha Vertex, GroupBy, BQ

Freshworks, Zalando, Red Spark, News, Trax, ETAS, Demandbase, BeesWa, Duolingo, intel, IBM, N26, Wix, EyeEm, moovit, SAMSUNG, News UK, ticketmaster

Find out what your peers are saying about Red Hat, Amazon Web Services (AWS), VMware and others in Container Management. Updated: July 2025.

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