Is GKE better than EKS and AKS?

GKE is often noted as the most mature and opinionated implementation, which makes sense given Google originated Kubernetes, but EKS and AKS are fully capable, widely used services. "Better" mostly depends on which cloud your other infrastructure is already on.

Can I move a Kubernetes workload between EKS, AKS and GKE?

In principle, yes, because all three speak the same Kubernetes API and a well-written manifest is portable between them. In practice, cloud-specific integrations (identity, networking, storage classes) usually need adjusting when you move.

Do I have to manage the worker nodes myself?

Not necessarily. All three services offer a spectrum from self-managed nodes to more fully managed or serverless node options (such as Fargate on EKS or Autopilot on GKE), so how much node-level administration you take on is a choice, not a fixed requirement.

Which managed Kubernetes service should I learn first?

Whichever matches the cloud you are already using or being tested on is usually the practical starting point, since the underlying Kubernetes concepts transfer directly between EKS, AKS and GKE once you know one of them.

Cloud basics

EKS vs AKS vs GKE: which managed Kubernetes service?

By the SaveMyCert Editorial TeamPublished 17 Sept 2026Updated 17 Sept 2026

Amazon EKS, Azure AKS and Google GKE are the three big managed Kubernetes services, and all three do the same core job: they run standard, upstream Kubernetes and manage its control plane for you, so you do not have to install, patch or operate that layer yourself. Underneath the three different names is the same open-source Kubernetes — a cluster built with one is portable in principle to the others, because they all speak the same API. Google Kubernetes Engine is often noted as the most mature and opinionated of the three, which makes sense given Google originated Kubernetes internally, but "most mature" is not the same as "objectively best" for every team, and the other two are fully capable, widely used services in their own right. This guide explains what managed Kubernetes actually gives you, where the three services genuinely differ, and why the cloud you are already on is usually the deciding factor.

The shared foundation: managed Kubernetes

Our what is Kubernetes explainer covers the container-orchestration concept itself; the piece that EKS, AKS and GKE each add is management of the Kubernetes control plane — the components that decide what runs where, watch cluster health and expose the API you interact with. Running that control plane yourself is real operational work: keeping it available, patched and correctly sized. All three services take that work off your plate and hand you a working cluster you can start deploying workloads to, with the worker nodes (the machines your containers actually run on) either managed for you as well or left under your control, depending on the mode you choose.

Amazon EKS

Amazon Elastic Kubernetes Service runs a managed control plane inside AWS and integrates with the rest of the AWS platform — VPC networking, IAM for authentication and authorisation, and load balancers provisioned through AWS’s own tooling. Worker nodes can run on ordinary EC2 instances or, for a more hands-off option, on Fargate’s serverless compute, so you are not forced to manage node infrastructure even at the compute layer.

Azure AKS

Azure Kubernetes Service plays the same role on Azure: a managed control plane, with worker nodes drawn from Azure virtual machine scale sets, and integration with Azure Active Directory for identity and Azure networking for connectivity. AKS is a common entry point for teams already standardised on Azure who want container orchestration without adopting a second cloud purely for Kubernetes.

Google GKE

Google Kubernetes Engine is Google Cloud’s managed offering, and it benefits from Google’s position as the originator of Kubernetes — GKE tends to be an early adopter of new Kubernetes features and is often cited as a particularly polished, opinionated implementation, including an "Autopilot" mode that manages node infrastructure more fully than the equivalent options on EKS or AKS. That head start is real, but it is a matter of degree and tooling philosophy rather than GKE running a fundamentally different Kubernetes to the other two.

Where they actually differ

Because all three run the same upstream Kubernetes, the meaningful differences sit around the edges:

Identity and access — EKS uses IAM, AKS uses Azure Active Directory, GKE uses Google Cloud IAM; each ties cluster access into its own cloud’s identity system rather than a shared one.
Node management options — all three offer a spectrum from self-managed nodes to fully managed/serverless nodes (Fargate on EKS, Autopilot on GKE, virtual nodes on AKS), but the exact options and defaults differ.
Networking model — each integrates with its own cloud’s virtual network, load balancer and DNS services, so the networking setup around a cluster looks different even when the cluster itself behaves the same.
Release cadence and defaults — how quickly each service adopts new upstream Kubernetes versions, and what ships enabled by default, varies and is worth checking directly rather than assuming parity.
Tooling and CLI — eksctl, az aks, and gcloud container each have their own command-line conventions, which shapes day-to-day operations more than the cluster behaviour itself.

When to choose each

Choose Amazon EKS when your workloads and other infrastructure are already on AWS, particularly if you rely on IAM for access control or other AWS-native services around the cluster. Choose Azure AKS on the same logic for an Azure-centric estate, especially where Azure Active Directory already governs identity elsewhere. Choose Google GKE if you are on Google Cloud, or if you specifically want the most Kubernetes-native experience and are comfortable with Google Cloud as your platform. As with most managed-service choices at this layer, the deciding factor for most teams is which cloud the rest of the system already runs on, not a feature unique to one Kubernetes offering.

Where this appears in cert study

Kubernetes concepts that apply across all three services are the focus of the vendor-neutral Kubernetes and Cloud Native Associate (KCNA) certification. EKS specifically features in AWS Solutions Architect Associate, and GKE and Google Cloud’s container tooling appear in GCP Associate Cloud Engineer.

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Questions, answered

No, all three run standard, upstream Kubernetes and expose the same core API. The differences are in how each cloud manages the control plane, integrates identity and networking, and offers node-management options — not in the Kubernetes underneath.