Demystifying the Cloud: IaaS, PaaS, SaaS, BaaS & FaaS Explained (with Use Cases)


TL;DR — Cloud Service Models at a Glance
Model | You Manage | Provider Manages | Best For | Examples |
IaaS | OS, runtime, apps, data | Servers, storage, networking | Full infrastructure control | AWS EC2, Azure VM, Google Compute Engine |
PaaS | Apps & data | OS, infra, runtime, scaling | Developers building web apps | Heroku, Google App Engine, Coolify |
SaaS | Nothing (just usage) | Everything | End users, non-tech teams | Gmail, Microsoft 365, Notion |
BaaS | Frontend & app logic | Backend APIs, auth, DB, storage | Web/mobile app developers | Supabase, Firebase, AWS Amplify, PocketBase |
FaaS | Code/functions | All infrastructure, runtime | Event-driven/serverless workloads | AWS Lambda, Google Cloud Functions |
Jamstack Hosting / Edge Platforms | Frontend apps & config | Build pipelines, CDNs, scaling | Static & hybrid site deployment | Vercel, Netlify |
Cloud computing is everywhere. The alphabet soup of IaaS, PaaS, SaaS, and their cousins can leave anyone confused.
Whether you're building an app, running a business, or just trying to figure out where your data goes, understanding the differences between these models can help you make smarter, more cost-effective decisions.
Let’s break them down with real-world use cases and tips on when to use each.
☁️ 1. Infrastructure as a Service (IaaS)
🔧 What is it?
IaaS gives you the raw computing infrastructure. Virtual servers, storage, and networking, without the need to buy or maintain physical hardware.
Think of it as renting a powerful computer in the cloud.
👨💻 Who uses it?
System administrators
DevOps engineers
Enterprises with complex deployments
✅ What you manage:
Operating systems, apps, runtime, data
🖥️ What the provider manages:
Servers, storage, virtualization, networking
💡 Use Case:
A fast-growing startup wants to scale its backend globally without managing data centers. They use Amazon EC2 to spin up virtual servers in minutes and deploy their custom web application.
🚀 Examples:
AWS EC2, Microsoft Azure, Google Compute Engine
🧱 2. Platform as a Service (PaaS)
🛠️ What is it?
PaaS offers a ready-to-use development environment, so you can build and deploy applications without worrying about the infrastructure.
Great for getting projects off the ground fast.
👩💻 Who uses it?
Developers focused on app logic
Small teams without dedicated sysadmins
✅ What you manage:
App code and data
🖥️ What the provider manages:
Infrastructure, OS, runtime, databases, load balancers
💡 Use Case:
A solo developer wants to build a scheduling app but doesn’t want to set up a server or database. They use Heroku to deploy their app in minutes.
🚀 Examples:
Google App Engine, Microsoft Azure App Service, Heroku
🧑💼 3. Software as a Service (SaaS)
📦 What is it?
SaaS delivers fully functional applications over the web. No downloads, no setup.
Just log in and start working.
👥 Who uses it?
Everyday users
Businesses of all sizes
Non-technical teams
✅ What you manage:
Nothing (just use it!)
🖥️ What the provider manages:
Everything: the app, infrastructure, updates, data security
💡 Use Case:
A marketing team needs to collaborate on content. They use Google Workspace (Docs, Sheets, etc.) and Slack without worrying about updates or IT.
🚀 Examples:
Gmail, Salesforce, Microsoft 365, Dropbox
📲 4. Backend as a Service (BaaS)
🧩 What is it?
BaaS handles the backend of your app like authentication, databases, and storage, so you can focus on building the frontend.
It’s especially helpful for mobile and web developers.
👨🎨 Who uses it?
App developers
Mobile/web startups
Hackathon participants
✅ What you manage:
Frontend and app logic
🖥️ What the provider manages:
APIs, authentication, storage, scaling, push notifications
💡 Use Case:
A team building a mobile fitness tracker uses Firebase for login, real-time database updates, and cloud storage without writing backend code.
🚀 Examples:
Firebase, AWS Amplify, Backendless, Parse
⚡️ 5. Function as a Service (FaaS) — aka Serverless
🧠 What is it?
FaaS lets you run code snippets (functions) in response to events. No need to manage any server.
You only pay for the time your function runs.
👾 Who uses it?
Developers building microservices
Event-driven apps
Teams trying to reduce ops costs
✅ What you manage:
Just your functions
🖥️ What the provider manages:
Everything else (scaling, runtime, infra)
💡 Use Case:
An e-commerce app uses AWS Lambda to automatically send emails after a purchase, triggered by a checkout event.
🚀 Examples:
AWS Lambda, Google Cloud Functions, Azure Functions
🔍 Quick Comparison Chart
Model | You Manage | Provider Manages | Best For | Examples |
IaaS | OS, runtime, data | Servers, networking | IT teams, DevOps | AWS EC2, Azure VM |
PaaS | App, data | Everything else | Developers | Heroku, App Engine |
SaaS | Nothing | Everything | End users | Gmail, Salesforce |
BaaS | Frontend | Auth, DB, APIs | App developers | Firebase, Amplify |
FaaS | Code/functions | All infra | Event-driven apps | AWS Lambda |
🧭 How to Choose the Right Model
Your Goal | Use This |
Full control over infrastructure | IaaS |
Build apps fast without sysadmin tasks | PaaS |
Use ready-made tools like email or CRM | SaaS |
Add cloud backend to your mobile/web app | BaaS |
Trigger backend functions on-demand | FaaS |
Cloud computing gives you a menu of services from raw infrastructure (IaaS) to fully functional apps (SaaS), and everything in between.
Whether you're launching a side project or scaling a global enterprise, understanding these models will help you choose smarter, move faster, and build better.
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