Karmada vs Kubermatic Kubernetes Platform

Karmada manages cloud-native applications across multiple Kubernetes clusters and clouds without requiring changes to the applications. It supports public and private cloud, on-premises, edge, and self-built environments that meet Kubernetes specifications. Cluster connections can use Push mode through a Kubernetes API server or Pull mode through an in-cluster agent. Scheduling policies cover cluster affinity, taints and tolerations, topology spread, and replicated or divided placement. OverridePolicy allows per-cluster changes to images, arguments, commands, and plain-text configuration. Karmada can move replicas after a cluster failure, including migration that avoids service replicas dropping to zero. Through karmada-apiserver, teams can create, update, delete, and query resources across member clusters. Its components export Prometheus metrics; integrations described include Submariner networking and ErieCanal service governance. Installation options include CLI tools, Helm, an operator, binaries, or source. The CLI initialization requires escalated privileges to store shared configuration under /etc/karmada by default. Karmada is open source and free, with customer-managed control plane; it manages clusters but does not provision them.

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.