Kratix vs Kusion

Kratix is an open-source framework for building internal developer platforms and coordinating platform capabilities. Its Promises define self-service APIs, embed workflows, and manage resources across a fleet. Teams can encode organisation and department policy or governance in reusable Promises and Workflows, then operate platform resources across clusters as one automated fleet. The maker describes access through portals, APIs, command-line tools, GitOps workflows, MCPs, automation, and AI agents. Kratix is available through an API and as self-hosted software, with installation guidance for Azure Kubernetes Service, Amazon EKS, Google Kubernetes Engine, Red Hat OpenShift, and other Kubernetes environments. The free Kratix Open Source plan costs nothing and includes the core, Promise-writing CLI, Go and Python SDKs, revisions and upgrades, metrics and observability endpoint, Marketplace, and Community Slack support. Paid SKA, SKE, and Integrator plans are billed Contact Us.

Kusion is a free, open-source platform orchestrator for internal developer platforms. Its AppConfiguration lets developers describe application workloads and resource dependencies without setting environment-specific values. The declarative model combines workload, accessory, pipeline, and dependency concepts. The documented process moves through Write, Generate, and Apply, with a three-way diff preview before changes are applied. Kusion currently applies operations to Kubernetes, Terraform, and on-premises infrastructure. Platform engineers can create reusable modules to standardize deployments and support developer self-service. A built-in delivery pipeline can be extended with customized plugin steps managed by platform owners. The project describes security and compliance support through base models, policy-as-code guardrails, and automatic injection of accessory secrets into workloads. External secret-store guides cover AWS, Alibaba Cloud, and Viettel Cloud. Kusion is a lightweight client-side solution with APIs for integration and automation. Its CLI installation methods cover macOS, Linux, and Windows. The project calls itself early and rapidly iterated; help and feedback are available through Slack or GitHub issues.