Cloud Service Models
Service models that define the level of management shared.
The service models of cloud computing, from infrastructure (IaaS) through platform (PaaS) and software (SaaS) to function, container and desktop services, plus backend, database and machine-learning services. Each row gives the model, what the provider manages and example products.
Use it when
- You need to explain who manages what in each service model.
- You are matching a product to a model for an architecture review.
Watch out for
- Vendors use the labels loosely; one product may span several models.
- The examples are illustrative and products are renamed or retired over time.
The data
9 rows
| Model | Description | Example |
|---|---|---|
| IaaS | Infrastructure as a Service provides virtualized compute, storage, and networking. | AWS EC2, Azure VMs |
| PaaS | Platform as a Service offers managed development and deployment platforms. | Heroku, Google App Engine |
| SaaS | Software as a Service delivers applications over the internet. | Gmail, Salesforce |
| FaaS | Function as a Service runs event-driven code without managing servers. | AWS Lambda, Cloud Functions |
| CaaS | Container as a Service manages container orchestration. | Amazon ECS, Google GKE |
| DaaS | Desktop as a Service streams virtual desktops. | Amazon WorkSpaces, Azure Virtual Desktop |
| BaaS | Backend as a Service supplies ready-made backend features such as authentication, storage and real-time databases to client applications. | Firebase, Supabase |
| DBaaS | Database as a Service runs managed databases, handling provisioning, backups, patching and scaling. | Amazon RDS, MongoDB Atlas, Azure SQL Database |
| MLaaS | Machine Learning as a Service offers managed tools to train, host and monitor models. | Amazon SageMaker, Google Vertex AI, Azure Machine Learning |
Fields
The shape of this dataset, read from the data itself: every column, its type and a real value. Agents can use this to plan a query without fetching the whole document.
| Section | Field | Type | Example |
|---|---|---|---|
| data | model | string | IaaS |
| data | description | string | Infrastructure as a Service provides virtualize… |
| data | example | string | AWS EC2, Azure VMs |
Fetch the same bytes
The static files contain the same reference rows as the API, with no API rate limit. Live metadata, such as view counts, may differ. Use the API for content negotiation; use the static files for a cacheable snapshot.
curl "https://yjtoon.com/api/dataset/cloud-service-models?format=toon"
const res = await fetch( "https://yjtoon.com/static-data/dataset/cloud-service-models.toon" ); const toon = await res.text();
Rate limit: 120 requests per minute per IP, no key and no signup. API reference →