--- title: 'Cloud66 vs Blossom: A Detailed Comparison' url: "/docs/comparisons/cloud66-vs-blossom/" canonical_url: https://docs.blossom88.com/docs/comparisons/cloud66-vs-blossom/ markdown_url: https://docs.blossom88.com/docs/comparisons/cloud66-vs-blossom.md summary: Compare Cloud66 and Blossom to find the best platform for your application deployment categories: - comparisons - platforms - cloud66 - deployment --- # Cloud66 vs Blossom: A Detailed Comparison Cloud66 and Blossom both simplify application deployment, but they leave customers with different concepts and operational responsibilities. Here's a comparison to help you understand the key differences: ## Cloud66 - Supports Kubernetes-backed application deployment - Abstracts many Kubernetes operations while retaining Kubernetes and cloud concepts for configuration and diagnosis - Supports multiple application deployments through platform configuration - Support for multiple programming languages and frameworks - Uses its own build and deployment conventions ## Blossom - Deploy from the UI, the CLI, an AI agent or git - Apps, Environments, Services, Jobs, managed Data, and [Capacity](/docs/capacity/) - Published standard pricing, prorated by active time - [Blossom Cloud or Blossom BYOC (bring your own cloud)](/docs/locations/cloud-providers/) with the same Product workflow - Published prices and one capacity limit for paid Capacity - Product-level Logs, Metrics, Health, Containers, Shell, and Activity ## Quick Comparison | Feature | Cloud66 | Blossom | | ----------------- | ------------------------ | ------------------------ | | Platform Model | Cloud and Kubernetes-backed deployment | **Managed Apps, no cluster to run** | | Customer Resources | Application, cloud, and orchestration settings | **Apps, Services, Jobs, Data, and Capacity** | | Operating Responsibility | Shared across Cloud66, the customer, and the provider | **Blossom** | | Configuration | Platform configuration including `service.yml` | **App and Environment settings** | | Setup Path | Connect a cloud target and configure the stack | **Create an App, choose a region, and Deploy** | | Scaling | Configure through the deployment stack | **Service scaling and managed Capacity** | ## Conclusion **Cloud66** supports Kubernetes-backed deployment and keeps more of the cloud and orchestration context available to the customer. That can fit teams that want access to those concepts. **Blossom** keeps the customer workflow at the Product layer. Teams operate Apps and managed Data, review Capacity and price, and use Product-level health and Activity rather than managing the orchestration layer.