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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:
 

Categories and Ranking

Docker
Ranking in Container Management
5th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
56
Ranking in other categories
Development Platforms (1st), Software Supply Chain Security (6th)
Google Kubernetes Engine
Ranking in Container Management
10th
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
37
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Container Management category, the mindshare of Docker is 2.9%, down from 3.7% compared to the previous year. The mindshare of Google Kubernetes Engine is 2.1%, down from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Container Management
 

Featured Reviews

Rikin Parekh - PeerSpot reviewer
Useful to create sandbox environments to run applications and makes it easy to test them
Overall, setting up the Docker environment is quite easy. Many methods exist, such as using Docker Compose and Docker networks to communicate between containers. The main challenge lies in designing the architecture and integrating different frameworks and microservices. I would rate the ease of setting up the tool at around nine out of ten. The time it takes to deploy depends on the scale of the system. For the early-stage startup I'm currently working with, it doesn't take much time. It's just me handling the deployment. In our early-stage startup, we have a couple of teams with around four to five backend APIs and two front-end services. Deploying these doesn't take much time. My focus is more on minimizing costs due to our lean startup structure.
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.

Quotes from Members

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

Pros

"The ability to use an image with the software built into it, rather than just the software, is beneficial."
"Traditional deployments take more time and builds can be inconsistent across different environments. Docker solves these issues."
"We are using Docker to host applications."
"The solution's most valuable feature is the Dockerfile, which makes the life of developers easy. Developers get a real understanding of container creation."
"The most valuable feature is the simple containerization."
"We use Docker to facilitate deployment, updates, and management."
"We are able to stop our containers or stop the service with a single command."
"The solution offers speed and flexibility."
"The product has no downtime."
"I highly recommend it to others due to its comprehensive features and cost-effectiveness for various company sizes."
"The scalability is the best feature."
"I rate Google Kubernetes Engine a ten out of ten."
"The most valuable feature of Google Kubernetes Engine is how you can automatically scale and load balance."
"Stability is perfect for me."
"The initial setup was very easy because it's like a Google platform as a service. It's just one button to set it up. The deployment took only a few minutes."
"The most valuable aspect of Google Kubernetes Engine (GKE) is its managed nature, which significantly reduces the burden on our platform team."
 

Cons

"We would like to see improvement in adding the node into the Docker Swarm cluster, as at present it is a little tricky and requires a lot of manual steps."
"In terms of communication between services, perhaps the configuration within networks between containers could be improved."
"I would like to see a more UI-based tool so that students can easily understand it rather than memorizing all of the Docker commands."
"There is always room for improvement. I often refer to forums such as StackOverflow to learn from other developers' experiences and the challenges they have faced while using Docker."
"There can be challenges with port mapping, however, that's not related to Docker itself."
"I advise new users to review their website, commands, and the steps for creating images."
"One item that could be improved is the overall stability of Docker."
"The learning curve with Docker is huge and extensive"
"I would like the solution to integrate with another Kubernetes product. I would also like it to monitor other platforms. It needs to also include scale-up container in the tool's next release."
"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."
"The user interface could be improved."
"The monitoring part requires some serious improvements in Google Kubernetes Engine, as it does not have very good monitoring consoles."
"There is room for improvement in this solution. For example, auto-scaling can be complex. We expect it to be easier to set up and manage, even for our customers."
"Our critique is that we have to do too much work to get the cluster production-ready."
"Log observability could be made easier so someone from high school can use it without having technological expertise."
"Their documentation is a little here and there. Sometimes, the information is not clear or updated. Their documentation should be a little bit better."
 

Pricing and Cost Advice

"Docker is a free open-source solution."
"The solution is an open-source technology and not a commercial product. However, you will have to pay sometimes. The tool's pricing depends on the vendor."
"Since Docker is an open-source solution, it is free of cost."
"Docker is cost-effective and open-source."
"Docker is open source. To use a Docker enterprise model, we would need to pay for it."
"It's an open-source solution, so it doesn't cost anything"
"The product is not expensive."
"Docker is a free tool."
"I would rate the solution's pricing a nine out of ten. The tool costs around 3000 dollars per month. There are no additional costs apart from these."
"This is an open source solution, so there is no pricing or licensing."
"The solution's price is reasonable."
"The product is a little bit expensive."
"Initially, Google Kubernetes Engine was a little bit cheaper, but now its prices have been increased compared to the pricing model and the features that are made available by its competitors."
"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."
"Currently, it costs around $1000 per month which sorted our deployment. So once we get more clients, having a huge suffix, costs can go up."
"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."
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Top Industries

By visitors reading reviews
Computer Software Company
17%
Insurance Company
12%
Financial Services Firm
10%
Manufacturing Company
8%
Financial Services Firm
22%
Computer Software Company
12%
Retailer
8%
Manufacturing Company
8%
 

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 needs improvement with Docker?
In terms of communication between services, perhaps the configuration within networks between containers could be improved.
What is your experience regarding pricing and costs for Google Kubernetes Engine?
The on-demand nodes are quite expensive, so we now use spot machines.
What needs improvement with Google Kubernetes Engine?
Gemini could be more integrated with Google Kubernetes Engine ( /products/google-kubernetes-engine-reviews ). For example, it would be helpful if I could easily find log information in a particular...
 

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: March 2025.
847,862 professionals have used our research since 2012.