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Google Kubernetes Engine vs Kubernetes 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:
 

Customer Service

Sentiment score
6.9
Google Kubernetes Engine support receives mixed reviews, with varied response times, regional differences, and experienced users often self-sufficient.
Sentiment score
6.8
Users manage issues internally with community resources; major firms provide strong support, while open-source relies on internal teams.
 

Room For Improvement

No sentiment score available
Google Kubernetes Engine needs improved network configuration, user interface, security, support, cost efficiency, and feature enhancements for competitiveness.
Sentiment score
6.0
Users want a simpler Kubernetes UI, better security, integration, monitoring, deployment, dashboards, non-Linux support, and learning resources.
Log observability could be made easier so someone from high school can use it without having technological expertise.
Although we face issues when migrating to new versions of Kubernetes, such as misunderstandings on using new features or integration with proxy services, these issues can be addressed with proper preparation.
 

Scalability Issues

No sentiment score available
Google Kubernetes Engine is praised for scalability and auto-scaling, though cluster complexity is noted by some users across industries.
Sentiment score
7.9
Kubernetes offers efficient scalability, supporting businesses of all sizes with seamless cloud scaling and effortless workload management.
 

Setup Cost

No sentiment score available
GKE offers flexible machine configurations, with varying costs based on resource use, from $90 to $3000 monthly.
Sentiment score
7.9
Kubernetes, while scalable and affordable for enterprises, can be costly for smaller organizations due to infrastructure and operational overhead.
Since we use Kubernetes on-premises, the costs are related to our expertise and the personnel we hire.
 

Stability Issues

Sentiment score
8.5
Google Kubernetes Engine is praised for its stability, robust architecture, and frequent updates, despite minor issues in complex deployments.
Sentiment score
7.5
Kubernetes is stable and mature, with strong community support and reliable performance, despite occasional issues with updates or configurations.
 

Valuable Features

Sentiment score
7.5
Google Kubernetes Engine excels with seamless deployment, robust scalability, multi-cloud integration, intuitive management, and strong support for containerization.
Sentiment score
8.3
Kubernetes provides scalable, automated container orchestration, offering ease of use, cloud integration, and robust resource management for enterprises.
GKE is easier to understand and use than Elastic Kubernetes Service.
For us, having fast storage classes is very important.
 

Categories and Ranking

Google Kubernetes Engine
Ranking in Container Management
8th
Average Rating
8.0
Reviews Sentiment
7.6
Number of Reviews
35
Ranking in other categories
No ranking in other categories
Kubernetes
Ranking in Container Management
4th
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
75
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Container Management category, the mindshare of Google Kubernetes Engine is 3.0%, down from 3.6% compared to the previous year. The mindshare of Kubernetes is 5.1%, down from 10.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Container Management
 

Featured Reviews

Abhilash Gopidas - PeerSpot reviewer
The auto-scaling feature helps during peak hours, but the support is not great
The product has no downtime. Automated scaling is a valuable feature. During peak hours, the datasets are on a higher volume. We need scaling in place. Otherwise, there's a degradation in the performance. We might sometimes miss data, or there will be no data sync between systems. Auto-scaling helps deal with performance needs during peak hours. There's no lag time for processing data.
Swayan Jeet Mishra - PeerSpot reviewer
Container orchestrator that deploys our machine learning solutions
Some of their services could be improved. Kubernetes deploys containers as ports, and there are some services required to communicate between the ports because communication isn't built into the ports by default. I would also like to have Spark as another distributor service on Kubernetes. Security could be improved. It would be helpful if there were other security modules built into Kubernetes. Security has to be implemented properly.
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
13%
Manufacturing Company
8%
Retailer
7%
Computer Software Company
18%
Financial Services Firm
13%
Government
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is your experience regarding pricing and costs for Google Kubernetes Engine?
I'm aware of the normal pricing, but it's not on top of my head. AWS is generally cheaper than GCP for most use cases. Costing fluctuates based on different purposes and sizes.
What needs improvement with Google Kubernetes Engine?
The primary area for improvement would be the complexity involved when working with Google Kubernetes Engine, especially when using Terraform. It can be more complex compared to AWS. Additionally, ...
What do you like most about Kubernetes?
There are many good features. I feel that the scale-out features, like replica sets, are very good. The number of running containers can be autoscaled.
What is your experience regarding pricing and costs for Kubernetes?
The pricing depends on the project. Ultimately, it's a business decision, and they need to assess the risks and potential consequences. If the benefits outweigh the costs, then it's a worthwhile in...
What needs improvement with Kubernetes?
Perhaps there are some aspects related to its operation that could be improved. One thing I noticed is when you have multiple deployments and your node count increases beyond eight or nine, the con...
 

Also Known As

GKE
K8
 

Learn More

 

Overview

 

Sample Customers

Philips Lighting, Alpha Vertex, GroupBy, BQ
China unicom, NetEase Cloud, Nav, AppDirect
Find out what your peers are saying about Google Kubernetes Engine vs. Kubernetes and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.