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Azure Container Apps vs Google Kubernetes Engine comparison

 

Comparison Buyer's Guide

Executive Summary

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

Azure Container Apps
Ranking in Container Management
22nd
Average Rating
9.0
Reviews Sentiment
5.1
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Google Kubernetes Engine
Ranking in Container Management
11th
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
40
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Mario Rodríguez Hernández - PeerSpot reviewer
Arquitecto De Soluciones at a tech vendor with 10,001+ employees
Modernization has accelerated cloud migration and now delivers resilient, flexible microservices
I consider the best features offered by Azure Container Apps to be power, event-based scaling, and ease of management. The power of event-based scaling and the ease of management have benefited my team and my projects by allowing the applications to be very flexible since they can scale based on process queue sizes or HTTP requests and for many other reasons such as entries in a Redis cache. Azure Container Apps has positively impacted my organization by making the migration of these applications easier, speeding up these migration processes and achieving greater resilience of the applications in the cloud. I have measured that impact in terms of improvements in resilience, which are very important because we move to having microservices deployed in several availability zones, with autoscaling, and as a result, they are very flexible and very reliable.
Parthasarathy T - PeerSpot reviewer
Cloud Associate Dev Ops at a computer software company with 201-500 employees
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.

Quotes from Members

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

Pros

"Azure Container Apps has positively impacted my organization by making the migration of these applications easier, speeding up these migration processes and achieving greater resilience of the applications in the cloud."
"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 deployment of the cluster is very easy, as you just click a button or run a simple command and it deploys itself, with Google managing the master, underlying infrastructure, and cluster versioning so updates are smooth and we don't have to handle that overhead ourselves."
"We used automation for the initial setup. It was okay. So it wasn't too complex."
"This is a really good product for independent applications or microservices."
"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 deployment of the cluster is very easy."
"The most valuable feature of Google Kubernetes Engine is how you can automatically scale and load balance."
"Stability-wise, this solution is really good."
 

Cons

"Azure Container Apps could be improved if the Azure RM Terraform provider could have full implementation of all its capabilities since right now it does not."
"The product's stability is an area of concern where improvements are required."
"I think that security is an important point, and there should be additional features for the evaluation of data in containers that will create a more secure environment for usage in multi-parent models."
"The pricing could be more competitive. It should be cheaper."
"There is a limitation for our infrastructure. It's very complex to see in one dashboard all the components and all the behavior on performance. I am looking for some additional tools for that. If I want to check the disk or file storage, it gets complex. There should be an integrated dashboard so that we can manage everything through a single pane."
"t is not very stable."
"Log observability could be made easier so someone from high school can use it without having technological expertise."
"The network configuration has to be simplified."
"The price could be a bit cheaper."
 

Pricing and Cost Advice

Information not available
"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."
"Pricing is a bit expensive compared to some other products, but it's acceptable."
"The price for Google Kubernetes Engine could be lower - I'd rate its pricing at three out of five."
"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."
"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."
"The tool's licensing costs are yearly."
"The product is a little bit expensive."
"The solution's price is reasonable."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
22%
Construction Company
9%
Manufacturing Company
9%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise6
Large Enterprise16
 

Questions from the Community

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What is your experience regarding pricing and costs for Google Kubernetes Engine?
My experience with pricing, setup cost, and licensing for Google Kubernetes Engine is straightforward, as I previously indicated. The need for humans is reduced with GCP since there is no need for ...
What needs improvement with Google Kubernetes Engine?
The price could be a bit cheaper. I don't see anything with Google Kubernetes Engine that needs to be improved. I think they are already implementing Kubernetes itself, so they are the owners. Howe...
What is your primary use case for Google Kubernetes Engine?
I use Google Kubernetes Engine for many purposes, most notably for websites, but the websites are microservices. However, some mega projects have many machines that needed to be containerized, so w...
 

Also Known As

No data available
GKE, Google Kubernetes
 

Overview

 

Sample Customers

Information Not Available
Philips Lighting, Alpha Vertex, GroupBy, BQ
Find out what your peers are saying about Red Hat, Amazon Web Services (AWS), Kubernetes and others in Container Management. Updated: June 2026.
902,270 professionals have used our research since 2012.