Kamaji vs KubeStellar
Kamaji
kamaji.clastix.ioKubeStellar
kubestellar.ioSide by side
| Figure | Kamaji | KubeStellar |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · Kubernetes Management Platforms | 7.9 (#9) | 7.5 (#17) |
| Purpose | Kamaji runs Kubernetes control planes as pods in a management cluster to simplify operating multiple Kubernetes clusters. | KubeStellar Console is an AI-powered dashboard for managing multiple Kubernetes clusters. |
| Support | Clastix offers subscription-based enterprise support plans for Kamaji. | The maker offers direct email support at [email protected] and community support through Slack. |
Plans
In their own words
Kamaji
Kamaji runs Kubernetes control planes as pods inside a management cluster, giving platform teams a way to operate multiple tenant clusters. Each tenant control plane is independent and separated from others. It uses upstream Kubernetes components and kubeadm, with CNCF-conformant tenant clusters. Worker nodes may run on bare metal, virtual machines, or cloud instances across cloud, data-center, edge, and bare-metal environments. Kamaji integrates with Cluster API for infrastructure provisioning and lifecycle management, and supports cluster provisioning, multi-cluster management, policy enforcement, and upgrade management. Datastores include etcd and MySQL- or PostgreSQL-compatible databases through kine; NATS support is experimental. Konnectivity, enabled by default, creates secure tunnels to worker nodes. Prometheus-format metrics cover management and tenant planes. Metrics endpoints use unauthenticated plaintext by default, with documented HTTPS and bearer-token options. Kamaji is free under Apache 2.0; Clastix also sells enterprise support.
KubeStellar
KubeStellar Console is a free dashboard for managing workloads and operations across Kubernetes clusters. It shows real-time cluster health, cross-cluster resources, workloads, and mission progress, with cluster groups and customizable layouts. Clusters can be discovered through a user’s kubeconfig; examples include OpenShift, EKS, GKE, kind, and k3s. AI Missions accept natural-language requests to investigate issues, troubleshoot, repair, upgrade, or deploy across clusters. Users can approve or reject suggested actions. The Console also supports cluster provisioning and policy enforcement, and its security dashboard includes CIS, NSA, and PCI compliance scoring, RBAC analysis, and privileged-container detection. Documentation lists 20+ dashboards, 110+ card types, and 93+ stats blocks; custom cards can be built with AI, JSON definitions, or TSX code. The marketplace offers community dashboards, card presets, and themes. Licensed under Apache 2.0, it runs on Linux and macOS and can be self-hosted or used on the web. AI Missions require an optional Anthropic API key.