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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 most valuable feature of Docker is its portability, ease of security management, and low resource usage."
"When used in conjunction with Kubernetes, it is seamless because it integrates very well."
"I think that with Docker, it is easy to deploy it on different platforms."
"The stability is excellent."
"The deployment is quite fast, which is beneficial."
"Traditional deployments take more time and builds can be inconsistent across different environments. Docker solves these issues."
"Docker is perfect for what I do...The solution is scalable."
"The scalability of Docker is good."
"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 beneficial feature is the ability to separate each project and manage permissions more effectively."
"GKE's plugin management and configuration sync are excellent features. The amount of data it provides is good, and I've been able to integrate it with the things I need."
"The main advantage of GKE is that it is a managed service. This means that Google is responsible for managing the master node in the Kubernetes cluster system. As a result, we can focus on deploying applications to the slaves, while Google handles any updates and security patches. The fact that GKE is fully integrated into the Google ecosystem, including solutions such as BigQuery and VertexAI. This makes it easier for us to integrate these tools into our process. This integration ultimately speeds up our time to market and reduces the time and effort spent on managing infrastructure. The managed aspect of GKE allows us to simply deploy and utilize it without having to worry about the technicalities of infrastructure management."
"We used automation for the initial setup. It was okay. So it wasn't too complex."
"Before using this solution, it was a lot of manual tasks and a lot of people participated in the process."
 

Cons

"In terms of communication between services, perhaps the configuration within networks between containers could be improved."
"The documentation could be improved."
"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."
"We have found that it is not easy to install it into a Windows system."
"Docker can improve the integration with Microsoft Windows. It does not support native installations."
"Sometimes, we have sync-up issues where the build doesn't get processed due to these sync issues, causing the build to fail. That's one of the drawbacks I see. When we did a huge sync-up, we faced a couple of issues. It takes some time for us to complete the sync-up. For frequent, smaller updates, we haven't had any issues. However, challenges can arise for those who prefer doing everything in one go. This might not necessarily be due to the tool itself but because of the approach of doing everything in a single batch."
"Docker could improve by having more advanced features."
"Deployment could be quicker."
"Google Kubernetes Engine's cost should be improved because it is high."
"Log observability could be made easier so someone from high school can use it without having technological expertise."
"The user interface is a bit confusing sometimes. You need to navigate between the various consoles we have. It's hard to figure out where things are. It's frustrating. The documentation could be a bit better."
"The product’s visible allocation feature needs improvement."
"There are some security issues, but it might just be because we are not up to speed yet as much as we should be and so we haven't found it in the documentation yet. That's why I don't want to confuse this. Still, it could be a little bit easier to understand and implement."
"The management UI could be improved. When looking at the web interface, it feels kind of slow due to the many features involved."
"We would like to see some improvement in the ease of integration with this solution."
"There is room for improvement in the cluster updates process. Specifically, when managing both non-production and production clusters, we need a sequential functionality."
 

Pricing and Cost Advice

"Docker is cost-effective and open-source."
"It's free."
"I would rate the pricing of Docker as ten out of ten"
"The product is not expensive."
"Since Docker is an open-source solution, it is free of cost."
"Customers pay for the license through a yearly subscription model, where they pay per license. This means that the license is based on a subscription, and the customer pays annually for each license they use."
"Docker is a free-to-use solution. However, Docker Enterprise is not free."
"Docker's price is good."
"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."
"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."
"The price for Google Kubernetes Engine could be lower - I'd rate its pricing at three out of five."
"We are planning to use external support, and hire a commercial partner for it."
"I rate the product's price a six on a scale of one to ten, where one is low price and ten is high price. The product is competitively priced."
"This is an open source solution, so there is no pricing or licensing."
"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
11%
Financial Services Firm
10%
Manufacturing Company
9%
Financial Services Firm
21%
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.
845,406 professionals have used our research since 2012.