Google Kubernetes Engine vs Kubermatic Kubernetes Platform

Google Kubernetes Engine is a managed environment for running containerized applications. It manages the Kubernetes control-plane life cycle for each cluster, from creation to deletion. Teams using Autopilot can hand node provisioning, scaling, scheduling and infrastructure management to Google, while users who prefer can manage nodes themselves. Autopilot also includes automatic capacity right-sizing and per-pod pricing. GKE supports GPU and TPU workloads and connects with AI Hypercomputer for machine-learning and high-performance computing. The product page states that clusters can reach 65,000 nodes. Security features include visibility into configuration issues and risks, agentless scanning for critical vulnerabilities, workload isolation through GKE Sandbox and hardware-based encryption for data in use with Confidential GKE Nodes. Fleets and Teams help organize clusters and workloads across teams. It also supports conformant attached Kubernetes clusters and says applications can run unmodified on on-premises hardware or in public cloud. Windows Server node images and containers are unavailable in Autopilot. A free tier and trial are listed, with a $9/mo starting price.

Kubermatic Kubernetes Platform (KKP) automates Kubernetes cluster deployment, scaling, and lifecycle management across hybrid cloud, multi-cloud, on-premises, and edge environments. Its customer-managed control plane can manage thousands of clusters across more than 20 public cloud providers and on-premises environments. Development teams can provision and deploy environments through a self-service portal. KKP supports cluster upgrades and rollbacks, plus an add-on controller for software, configuration, and policy. KubeVirt support brings virtual machines and containerized workloads into one interface. Security controls include multi-tenancy, role-based access, cluster authentication and authorization, and policy blueprints and presets. Prometheus, Grafana, and Loki have native support; teams can also connect CI/CD systems, Terraform providers, or Ansible playbooks. KKP is self-hosted and installed with the Kubermatic Installer, and requires a Kubernetes master cluster. Community Edition costs nothing under Apache License 2.0. Enterprise Edition has no listed price and bills worker-node vCPU and memory on a consumption basis; master cluster nodes are excluded.