Google Kubernetes Engine vs Komodor comparison

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Google Kubernetes Engine

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Executive SummaryUpdated on Oct 13, 2024

In the Kubernetes ecosystem, Google Kubernetes Engine and Komodor offer unique solutions. Google Kubernetes Engine stands out for its scalability and integration within Google Cloud, providing a robust infrastructure. Komodor, meanwhile, focuses on enhancing efficiency with observability tools, excellent for troubleshooting.

Features: Google Kubernetes Engine provides integrated management and orchestration like auto-scaling, multi-cluster support, and comprehensive cloud application management. Komodor offers diagnostic tools including incident timelines, root cause analysis, and an intuitive interface geared towards enhancing operational efficiency in Kubernetes environments.

Room for Improvement: Google Kubernetes Engine could improve its customer service response times and simplify the complexities tied to extensive integrations. Additionally, enhancing cost efficiency for resource-heavy operations could be advantageous. Komodor may need better integration with non-Kubernetes ecosystems, expanded documentation for wider user adoption, and improved scalability for handling larger enterprise needs.

Ease of Deployment and Customer Service: Google Kubernetes Engine ensures easy deployment with solid support for enterprises familiar with Google Cloud Platform, although service may be slower due to scale. Komodor offers rapid setup, easing onboarding with a user-friendly interface, and provides personalized, hands-on customer service that benefits newcomers to Kubernetes.

Pricing and ROI: Google Kubernetes Engine's pricing is usage-based, which can increase with higher resource consumption, but offers a comprehensive feature set. Komodor's competitive pricing is focused on value through specialized monitoring, potentially offering better ROI for organizations prioritizing operational efficiency and reduced downtime.

To learn more, read our detailed Google Kubernetes Engine vs. Komodor Report (Updated: December 2025).

Google Kubernetes Engine vs. Komodor

December 2025

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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

4.8

Google Kubernetes Engine offers cost efficiency and productivity, though additional service costs and competition may affect returns.

Sentiment score

9.3

Teams using Komodor see up to 90% ROI, with cost savings and developer efficiency through self-service and integration features.

By migrating from AWS to Google Cloud Platform, we have saved a lot of time and money.

For more quotes and insights, download the Google Kubernetes Engine report

Director at Taotesting

We saw around ninety percent ROI using Komodor.

For more quotes and insights, download the Komodor report

Technical Solutions Engineer at a leisure / travel company with 501-1,000 employees

Customer Service

Sentiment score

3.3

User satisfaction with Google Kubernetes Engine support is mixed, with some praising efficiency and others noting delays and challenges.

Sentiment score

9.0

Komodor offers responsive support and helpful features, but time zone differences may delay responses for West Coast teams.

No quotes available

For more quotes and insights, download the Google Kubernetes Engine report

I would rate the customer support from Komodor a ten out of ten.

For more quotes and insights, download the Komodor report

Technical Solutions Engineer at a leisure / travel company with 501-1,000 employees

Scalability Issues

Sentiment score

5.0

Google Kubernetes Engine excels in scalability, supporting dynamic scaling for enterprises and cloud platforms, ideal for diverse applications.

Sentiment score

9.3

Komodor generally handles scalability well across clusters, though some report performance issues with numerous nodes and clusters.

The autoscaling capabilities of Google Kubernetes Engine have significantly impacted our operations.

For more quotes and insights, download the Google Kubernetes Engine report

Director at Taotesting

Komodor is very highly scalable in terms of infrastructure and in terms of the number of nodes we use.

For more quotes and insights, download the Komodor report

Technical Solutions Engineer at a leisure / travel company with 501-1,000 employees

Stability Issues

Sentiment score

7.4

Google Kubernetes Engine is stable, with minimal downtime and consistent performance, appreciated for scalability and adaptability across environments.

Sentiment score

8.8

Komodor is generally stable, with minor issues quickly resolved, updates improving reliability, though occasional performance delays occur.

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.

Parthasarathy T

Cloud Associate DevOps at Publicis Sapient

For more quotes and insights, download the Google Kubernetes Engine report

No quotes available

For more quotes and insights, download the Komodor report

Room For Improvement

Users suggest improvements in pricing, upgrades, interface, security, support, integration, backup, and performance visibility for Google Kubernetes Engine.

Komodor needs installation upgrades, better visibility, intuitive alerts, cost analytics, system alignment, and feature integration for improved usability.

When looking at the web interface, it feels kind of slow due to the many features involved.

Immánuel Fodor

Product Manager at a tech vendor with 11-50 employees

Log observability could be made easier so someone from high school can use it without having technological expertise.

Rakesh-Tomar

Consultant at HSBC

It would be helpful if I could easily find log information in a particular namespace without needing to write certain labels.

For more quotes and insights, download the Google Kubernetes Engine report

Director at Taotesting

There are some features related to the platform that are missing in Komodor, such as Tigera status or CNI pods.

For more quotes and insights, download the Komodor report

Technical Solutions Engineer at a leisure / travel company with 501-1,000 employees

Setup Cost

Google Kubernetes Engine offers usage-based pricing with flexibility, but costs may rise with robust configurations and small deployments.

Komodor's pricing is seen as fair and flexible, benefiting startups but raising cost concerns as scale increases.

Instead, we only pay for the hardware we use, which results in cost-cutting.

Parthasarathy T

Cloud Associate DevOps at Publicis Sapient

The on-demand nodes are quite expensive.

For more quotes and insights, download the Google Kubernetes Engine report

Director at Taotesting

Google is considered cheaper compared to AWS, making it suitable for smaller to medium companies concerning cost.

Immánuel Fodor

Product Manager at a tech vendor with 11-50 employees

Compared with Rancher or any other tools, Komodor is priced cheaply and available at a fair price.

For more quotes and insights, download the Komodor report

Technical Solutions Engineer at a leisure / travel company with 501-1,000 employees

Valuable Features

Google Kubernetes Engine excels with auto-scaling, easy deployment, integration, security, and reduced complexity for seamless application management.

Komodor enhances productivity by providing real-time insights, efficient debugging, and AI-assisted diagnostics, supporting quick problem identification in Kubernetes environments.

The most valuable aspect of Google Kubernetes Engine (GKE) is its managed nature, which significantly reduces the burden on our platform team.

Immánuel Fodor

Product Manager at a tech vendor with 11-50 employees

The best advantage of Google Kubernetes Engine is that it manages Kubernetes for you, making everything related to the master nodes managed for you with automatic updating and upgrading.

Amr Ehab

Solution Architect at Rutotech

GKE is easier to understand and use than Elastic Kubernetes Service.

Rakesh-Tomar

Consultant at HSBC

For more quotes and insights, download the Google Kubernetes Engine report

For instance, when application teams want to deploy their applications, if Rancher is not up or running, the deployments usually fail at the deployment stage. In the case of Komodor, there have been no such cases reported after adopting it.

For more quotes and insights, download the Komodor report

Technical Solutions Engineer at a leisure / travel company with 501-1,000 employees

Categories and Ranking

Google Kubernetes Engine

Ranking in Container Management

8th

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Komodor

Ranking in Container Management

13th

Average Rating

8.8

Reviews Sentiment

8.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Container Management category, the mindshare of Google Kubernetes Engine is 2.3%, up from 2.2% compared to the previous year. The mindshare of Komodor is 3.6%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Container Management Market Share Distribution
Product	Market Share (%)
Google Kubernetes Engine	2.3%
Komodor	3.6%
Other	94.1%

Container Management

Featured Reviews

Parthasarathy T

Cloud Associate DevOps at Publicis Sapient

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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Unified cloud workloads have become visible and teams manage kubernetes issues efficiently

Technical Solutions Engineer at a leisure / travel company with 501-1,000 employees

This is the main task that we use Komodor for, and one additional benefit is that it is also helpful for platform and site reliability engineers to check how many clusters are up and running and how many clusters are accepting the workloads from the users. One of the best features that Komodor offers is Cloud AI, which debugs all the logs and gives the exact root cause for the issue. From there, we know we do not need an engineer who is an expert in Kubernetes to debug the issue. Cloud AI has definitely helped my team by saving time, not in a single instance but in multiple cases where we have used Cloud AI for debugging issues in the Kubernetes pods. Komodor has positively impacted our organization. Since adopting it, all the issues we faced while managing Rancher are gone, and we are seeing 100% availability for Komodor. 100% availability with Komodor means there have been improvements in uptime and productivity. For instance, when application teams want to deploy their applications, if Rancher is not up or running, the deployments usually fail at the deployment stage. In the case of Komodor, there have been no such cases reported after adopting it. We saw 100% uptime most of the time, except for some issues with AWS outages.

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Top Industries

By visitors reading reviews

Financial Services Firm

26%

Manufacturing Company

Healthcare Company

Retailer

Computer Software Company

16%

Comms Service Provider

10%

Media Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	6
Large Enterprise	15

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	4
Large Enterprise	2

Questions from the Community

What do you like most about Google Kubernetes Engine?

The product has no downtime.

See all answers

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 ...

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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...

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Comparisons

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Compared 69% of the time

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Compared 11% of the time

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Compared 9% of the time

Red Hat OpenShift Container Platform vs Komodor

Compared 5% of the time

Amazon EKS vs Komodor

Compared 3% of the time

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Product Reports

Download Google Kubernetes Engine product report

Google Kubernetes Engine

January 2026

Download Komodor product report

January 2026

Also Known As

GKE

No data available

Overview

Kubernetes Engine is a managed, production-ready environment for deploying containerized applications. It brings our latest innovations in developer productivity, resource efficiency, automated operations, and open source flexibility to accelerate your time to market.

Google

Komodor is the missing piece in your DevOps toolchain - offering one unified platform from which you can gain a deep understanding of all of your system events and changes. We integrate with all of your tools, monitor changes and alerts and organize information on a clear digestible dashboard and provide you with the right context at the right time.

Sample Customers

Philips Lighting, Alpha Vertex, GroupBy, BQ

Information Not Available