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Docker 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:
 

Customer Service

Sentiment score
7.5
Docker's support receives mixed feedback, with adequate documentation, varying official support quality, and reliance on community and online resources.
Sentiment score
6.9
Google Kubernetes Engine support receives mixed reviews, with varied response times, regional differences, and experienced users often self-sufficient.
 

Room For Improvement

Sentiment score
5.9
Docker needs improved documentation, usability, stability, security, Windows integration, and features like node management, pricing, and monitoring enhancements.
No sentiment score available
Google Kubernetes Engine needs improved network configuration, user interface, security, support, cost efficiency, and feature enhancements for competitiveness.
Docker is a time-tested, proven solution with industry-wide applications.
Log observability could be made easier so someone from high school can use it without having technological expertise.
 

Scalability Issues

Sentiment score
7.0
Docker's scalability is enhanced with tools like Kubernetes, though it requires manual scaling and adjustments for optimal performance.
No sentiment score available
Google Kubernetes Engine is praised for scalability and auto-scaling, though cluster complexity is noted by some users across industries.
Previously, only one or two applications could run on a server, but now it can handle hundreds of applications, scaling up or down as needed.
 

Setup Cost

Sentiment score
6.1
Docker provides a free and paid subscription model with enterprise licenses starting at $24 per user monthly.
No sentiment score available
GKE offers flexible machine configurations, with varying costs based on resource use, from $90 to $3000 monthly.
 

Stability Issues

Sentiment score
7.9
Docker is highly regarded for stability, excelling in Linux, but faces some Windows issues and package compatibility challenges.
Sentiment score
8.5
Google Kubernetes Engine is praised for its stability, robust architecture, and frequent updates, despite minor issues in complex deployments.
 

Valuable Features

Sentiment score
8.3
Docker is valued for its security, flexibility, scalability, and efficient deployment, with features enhancing portability and cross-platform support.
Sentiment score
7.5
Google Kubernetes Engine excels with seamless deployment, robust scalability, multi-cloud integration, intuitive management, and strong support for containerization.
It allows the software to run on various machines without compatibility issues, saving a lot of time.
GKE is easier to understand and use than Elastic Kubernetes Service.
 

Categories and Ranking

Docker
Ranking in Container Management
5th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
55
Ranking in other categories
Development Platforms (1st), Software Supply Chain Security (5th)
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
 

Mindshare comparison

As of November 2024, in the Container Management category, the mindshare of Docker is 4.1%, up from 4.0% compared to the previous year. The mindshare of Google Kubernetes Engine is 3.0%, down from 3.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Container Management
 

Featured Reviews

Gur Sannikov - PeerSpot reviewer
Offers reliability and helps to save on costs
In terms of the impact of container orchestration, I would say that though my company does not currently use a lot of containers, we plan to move to containers. I recommend others to just use the internet than ChatGPT since mostly all issues are already known and very easy to deal with so it is better to use the knowledge from the industry. In terms of the use of Docker for AI projects or workflows, I would say that my company deploys AI applications on Docker, like any other application and pipeline. The tools or practices that have proven to be the most beneficial for our company's AI initiatives are agnostic to Docker. There is nothing special in Docker, and our company just uses it to deploy applications. The value derived from the use of the product revolves around the scalability and the reliability it offers. The product helps with the cost-savings part since it saves time and money linked with the amount of engineers required to spend time on operations. I rate the solution a nine out of ten.
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.
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816,636 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
19%
Insurance Company
11%
Financial Services Firm
10%
Manufacturing Company
8%
Financial Services Firm
23%
Computer Software Company
12%
Manufacturing Company
8%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Docker?
We are using Docker to host applications.
What is your experience regarding pricing and costs for Docker?
Our customers buy the software and the prices are available on Docker Hub. The subscription is typically yearly, and customers will need to buy the subscription directly. They can purchase it thems...
What needs improvement with Docker?
There's always room for improvement. Sometimes there's a bug or defect in the solution. However, the Docker team works on fixing it.
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, ...
 

Also Known As

No data available
GKE
 

Learn More

 

Overview

 

Sample Customers

Information Not Available
Philips Lighting, Alpha Vertex, GroupBy, BQ
Find out what your peers are saying about Docker vs. Google Kubernetes Engine and other solutions. Updated: October 2024.
816,636 professionals have used our research since 2012.