KubeClipper vs Kubermatic Kubernetes Platform

KubeClipper is a free, open-source service for managing Kubernetes clusters on an organization’s own infrastructure. Its web interface, APIs, and kcctl command-line tool support cluster deployment and lifecycle operations across cloud, hypervisor, and bare-metal environments. Users can create, delete, upgrade, back up, restore, and scale clusters, and register clusters built elsewhere. Deployment can be online, offline, or through a proxy; a graphical wizard helps set up clusters and required plugins. Node tools include automatic registration, information collection, and a terminal. Access controls include role-based and custom permissions, with OIDC login for external users. Backups cover etcd data and Kubernetes resource objects, using filesystem or S3 storage such as NFS or MinIO; files produced by resources and files on persistent volumes are outside that backup scope. The project lists x86/64 and arm64 support and extensible management of CRI, CNI, CSI, and CRD components. Worker-node addition and removal are the currently supported node changes.

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.