Red Hat OpenShift vs Google Kubernetes Engine
A detailed comparison to help you choose between Red Hat OpenShift and Google Kubernetes Engine.
Quick Verdict
3.6/5
Red Hat OpenShift
0 reviews
4.1/5
Google Kubernetes Engine
0 reviews
Google Kubernetes Engine is rated higher (4.1 vs 3.6). Red Hat OpenShift is a managed Kubernetes distribution that adds developer tools, CI/CD pipelines, and enterprise security on top of Kubernetes. Built for teams managing containerized applications at scale. GKE provides hosted Kubernetes clusters on Google Cloud infrastructure. Deploy, manage, and scale containerized applications with built-in monitoring, security, and automatic node management.
Red Hat OpenShift Enterprise Kubernetes platform with built-in DevOps and security | Google Kubernetes Engine Managed Kubernetes on Google Cloud with automated scaling and updates | |
|---|---|---|
| Overview | ||
| Rating | 3.6 (0 reviews) | 4.1 (0 reviews)✓ |
| Pricing model | paid | pay-as-you-go |
| Starting price | Free tier available | Free tier available |
| Best for | Regulated enterprises and large platform teams that need a certified, supported Kubernetes platform with compliance tooling, hybrid deployment freedom, and vendor accountability — not teams optimizing for cost | Teams standardizing on Kubernetes within Google Cloud: Autopilot for those without platform engineers, Standard for node-level control and well-packed cost-optimized clusters. |
| Features | ||
| IPv6 | ✓ | |
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | On-prem/bare metal plus managed services on AWS, Azure, Google Cloud, IBM Cloud | — |
| Tags | ||
| Tags | managed optionteam featuressso | free tiermanaged optionapi accesseu datacenterus datacenterapac datacenterterraform provider |
| Visit Red Hat OpenShift → | Visit Google Kubernetes Engine → | |
Red Hat OpenShift
Pros
- + Complete, supported enterprise Kubernetes: CI/CD, registry, mesh, policy, Operator catalog, lifecycle management in one platform
- + Runs everywhere — bare metal, VMware, all major clouds — with managed options (Dedicated, ROSA, ARO, IBM Cloud) and a 99.95% SLA
- + Real accountability: 24x7 Red Hat support, certified components, and compliance evidence for regulated industries
- + Full IPv6 single/dual-stack networking and documented NVIDIA GPU support including bare-metal GPU deployments
Cons
- - The most expensive way to run Kubernetes per core, with quote-driven self-managed pricing and no public list table
- - Heavy abstraction layer and real lock-in (Routes, BuildConfigs, ImageStreams, SCCs) versus upstream Kubernetes
- - Portfolio sprawl: four self-managed editions and four managed services are hard to navigate and easy to over-buy
- - Platform administration skills still required; restricted security defaults reject workloads that run fine elsewhere
Google Kubernetes Engine
Pros
- + Credit-backed, specific SLA: 99.95% regional/Autopilot control plane, 99.9% for multi-zone Autopilot pods
- + Autopilot removes node management and bills per pod request with per-second granularity
- + Kubernetes from Kubernetes' creator — release channels, Workload Identity, native GCP service integration
- + GKE free tier covers one cluster's $74.40 monthly management fee
- + Mature ecosystem: Terraform provider, gcloud, GitOps add-ons, deep hiring and training base
Cons
- - $0.10/cluster-hour fee plus compute, disks, LBs, and egress — expensive for small workloads
- - Oversized pod requests are billed at full rate in Autopilot; billing model has many interacting dimensions
- - SLA covers the control plane only — workload availability is your responsibility
- - Regional clusters' management fee is excluded from the free tier credit; GKE CUDs no longer purchasable for Autopilot
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