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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 May 2025, in the Container Management category, the mindshare of Docker is 2.7%, down from 3.8% 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.
Immánuel Fodor - PeerSpot reviewer
The auto-scaling feature ensures that we only use resources when needed
The most valuable aspect of Google Kubernetes Engine (GKE) is its managed nature, which significantly reduces the burden on our platform team. Features like auto-scaling are highly beneficial for both handling traffic spikes and optimizing costs. Furthermore, Google's promise of good SLA availability, with the service being available in different locations, adds to its robustness.

Quotes from Members

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

Pros

"Kubernetes is the primary container orchestration tool I use with this solution. Docker provides a complete solution for deploying and managing workloads across multiple nodes. Container orchestration has significantly impacted my workload by automating tasks and streamlining operations. The availability of systems like Kubernetes is crucial for planning and managing complete clusters and computing environments. Every client's needs are different, and not one solution fits all."
"The most valuable feature of Docker is that it revolutionized virtualization by providing a new approach with containers that completely nullified the time it used to take to deploy applications on virtual servers, resulting in deployment times that can be as quick as milliseconds, unless it is a heavy application, such as Java. Additionally, resource utilization has greatly improved with Docker, allowing for more resources to be allocated to other tasks. These are a few key features that make Docker a preferred choice."
"The deployment is quite fast, which is beneficial."
"Docker is perfect for what I do...The solution is scalable."
"Docker packages up an application as a single item that you can then run without the need to install or configure it to work on any specific machine."
"I am impressed with the product's independence. We can also deploy it anywhere."
"When used in conjunction with Kubernetes, it is seamless because it integrates very well."
"We are able to stop our containers or stop the service with a single command."
"Its functionalities, such as computing the namespaces, clusters, pods, and restart logs, are easy to use."
"We appreciate that it is quite easy to set up a Kubernetes cluster in Google Cloud, using the managed services within this solution."
"The features are typical Kubernetes, but Google One offers a better GUI-based deployment. It's more sophisticated and integrates well with other services, providing a better customer experience."
"The product has valuable security features. It can connect with multiple DevOps tools."
"Google Kubernetes Engine's most valuable feature is container deployment."
"The product’s dashboard is very intuitive."
"Google Kubernetes Engine is used for orchestrating Docker containers. We have 30 or 40 customers working with this solution now. We'll probably see 10 to 15 percent growth in the number of customers using Google Kubernetes Engine in the future."
"The deployment of the cluster is very easy."
 

Cons

"The runtime and security could improve in Docker. Security is paramount in the cloud and important."
"We'd like knowledge transfer to be easier."
"The solution needs to be more scalable for local machines."
"The product does not have an extensive documentation. The tool does not have good scenarios. We have to go through the GitHub repository and investigate similar scenarios. Also, if you are copying multiple things, then you can jeopardize the copy number. The copying aspect also lacks a UI part. We also need to limit the memory."
"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."
"Stability is an area with a shortcoming."
"We are facing multiple issues with the solution's stability."
"I would like to see a single package image orchestration bundled together."
"I would rate the scalability a seven out of ten."
"Google Kubernetes Engine is less stable in some highly complex deployments with many nodes."
"It needs to support load balancing."
"An area in which Google Kubernetes Engine could improve is configuration."
"The solution does not have a visual interface."
"We would like to see some improvement in the ease of integration with this solution."
"Google Kubernetes Engine's cost should be improved because it is high."
"The network configuration has to be simplified."
 

Pricing and Cost Advice

"Docker is open source. To use a Docker enterprise model, we would need to pay for it."
"Docker is a free-to-use solution. However, Docker Enterprise is not free."
"Docker has made some changes and there is an enterprise version that is affordable."
"Docker's price is good."
"There is a license needed to use Docker."
"I would rate the pricing of Docker as ten out of ten"
"Docker is cost-effective and open-source."
"This is an open-source solution, so there are no licensing costs."
"Pricing is a bit expensive compared to some other products, but it's acceptable."
"The solution's price is reasonable."
"I would rate Kubernetes' pricing four out of five."
"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."
"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."
"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 price for Google Kubernetes Engine could be lower - I'd rate its pricing at three out of five."
"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."
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Insurance Company
11%
Financial Services Firm
10%
Government
9%
Financial Services Firm
24%
Computer Software Company
13%
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 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: April 2025.
851,604 professionals have used our research since 2012.