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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:
 

ROI

Sentiment score
8.0
Docker offers cost savings by enhancing efficiency, reducing complexity, and enabling faster deployment with consistent environments and smaller hardware.
Sentiment score
6.1
Google Kubernetes Engine delivers positive ROI by reducing costs and improving efficiency, despite being costly for some services.
By migrating from AWS to Google Cloud Platform, we have saved a lot of time and money.
 

Customer Service

Sentiment score
4.1
Docker's customer service is praised for documentation, though many use community resources; support averages 7-8/10 in ratings.
Sentiment score
3.7
Google Kubernetes Engine support varies; some users rely on forums, while others suggest improvements in response time and professionalism.
 

Scalability Issues

Sentiment score
7.5
Docker efficiently scales applications, especially with Kubernetes and Terraform, despite limitations in disk space and local machine scalability.
Sentiment score
6.0
Google Kubernetes Engine is praised for its scalability, efficient for microservices, with dynamic auto-scaling adjusting to organizational needs.
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.
The autoscaling capabilities of Google Kubernetes Engine have significantly impacted our operations.
 

Stability Issues

Sentiment score
7.9
Docker is highly regarded for stability and reliability, despite minor issues with Windows compatibility and occasional resource concerns.
Sentiment score
7.5
Google Kubernetes Engine is highly stable, effectively managing demands with regular updates and scalable architecture for reliable operations.
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

Docker needs improvements in stability, security, documentation, user interface, pricing, and support to enhance adoption and usability.
Google Kubernetes Engine needs enhancements in security, user interface, scalability, pricing, and third-party integration for optimal performance.
Docker is a time-tested, proven solution with industry-wide applications.
In terms of communication between services, perhaps the configuration within networks between containers could be improved.
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

Docker's open-source version is free, but licensing for Enterprise users starts at $24 per user monthly, prompting alternatives.
Google Kubernetes Engine uses pay-as-you-go pricing, competitive with AWS, considering machine specs, compute resources, and optional GPUs.
I consider Docker's pricing to be affordable.
Instead, we only pay for the hardware we use, which results in cost-cutting.
Google Kubernetes Engine solution is expensive, as are all cloud solutions in general.
The on-demand nodes are quite expensive.
 

Valuable Features

Docker's key benefits are security, ease of use, portability, quick deployment, and efficient resource management with extensive features and documentation.
Google Kubernetes Engine offers seamless autoscaling, multi-cloud support, robust security, and easy cluster management for enhanced performance and reliability.
It allows the software to run on various machines without compatibility issues, saving a lot of time.
The most valuable feature is the simple containerization.
The most valuable aspect of Google Kubernetes Engine (GKE) is its managed nature, which significantly reduces the burden on our platform team.
What I find most valuable is the ability to focus solely on my product without worrying about the Kubernetes infrastructure itself.
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
7.2
Number of Reviews
56
Ranking in other categories
Development Platforms (1st), Software Supply Chain Security (6th)
Google Kubernetes Engine
Ranking in Container Management
11th
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 August 2025, in the Container Management category, the mindshare of Docker is 3.6%, down from 3.9% compared to the previous year. The mindshare of Google Kubernetes Engine is 2.3%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Container Management
 

Featured Reviews

Sunny Nair - PeerSpot reviewer
Offers application conversion to Docker image and a mature environment
The learning curve with Docker is huge and extensive. Adopting Docker is a bit difficult because it requires a lot of expertise and background, including an understanding of networking and security concepts. Many professionals are facing issues with the different architectures that interact with each other in Docker. Whenever in our company, we are working with the production environment, professionals are hesitant to adopt Docker due to the extensive learning curve, and most of the team members in our company are more accustomed to an environment like VMware instead of Docker. Docker runs on scripts, so if AI can automate most of the scripting process in Docker, it would be a great advantage in the future version of Docker. As of now, we can create scripts utilizing most of the functions within Docker, but that initial planning phase wherein to understand exactly how you will plan for the resources, how you will convert applications into a Docker-based image, and similar tasks needs to be simplified so that more professionals can adopt Docker.
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
Computer Software Company
15%
Manufacturing Company
11%
Financial Services Firm
9%
Government
8%
Financial Services Firm
23%
Computer Software Company
10%
Retailer
8%
Manufacturing Company
6%
 

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?
Regarding the cost, Mirantis Container Cloud is cheaper than other solutions like Red Hat. The license costs around 10,000 Indian rupees per year.
What needs improvement with Docker?
Mirantis Container Cloud should have AI integration tools, which are not available right now. These tools should assist in app scalability and deployment error handling.
What is your experience regarding pricing and costs for Google Kubernetes Engine?
Google Kubernetes Engine solution is expensive, as are all cloud solutions in general. On a scale of one to ten for pricing, I would rate it between seven and eight.
What needs improvement with Google Kubernetes Engine?
I have no comment about the learning curve of Google Kubernetes Engine. Regarding AI integration and features in Google Kubernetes Engine, there are currently none available. I would appreciate see...
 

Also Known As

No data available
GKE
 

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: July 2025.
865,295 professionals have used our research since 2012.