Firebase vs AWS vs Cloudflare: Where Your Site or App Should Live
Firebase, AWS, and Cloudflare can all put a website or web app on the internet. They are not interchangeable. Each one is built around a different idea of who is doing the work and what the work is.
This studio ships on all three. This site runs on Cloudflare Pages, most new client builds deploy to Cloudflare, Pii.link (the studio's time tracking app) runs on Firebase, and earlier client work used AWS Lambda, S3, and DynamoDB. Here is how the choice actually gets made.
The short answer
| If you are building | Start with | Why |
|---|---|---|
| A business website (marketing pages, blog, contact form) | Cloudflare | Fast everywhere, simple deploys, very low cost at small scale |
| A small web app used by you or your customers | Firebase | Login, database, and real-time updates with almost no backend code |
| A system with compliance rules, a large team, or an existing AWS account | AWS | Control over every layer, audit tooling, and the integrations already in place |
The rest of this article is the reasoning behind that table.
What each platform is built for
Cloudflare started as a network that sits in front of websites. It now runs code at the edge: small functions (Workers) execute in data centers close to each visitor. Around that sit static hosting (Pages), a relational database (D1, built on SQLite), key-value storage (KV), file storage (R2), and stateful objects for real-time features (Durable Objects).
Firebase is Google's backend for apps. The app talks directly to the database (Firestore), and security rules decide who can read and write what. Login (Firebase Auth), file storage, hosting, and serverless functions come in the same package.
AWS is Amazon's cloud: hundreds of services you assemble yourself. For a web app the usual set is Lambda for code, API Gateway for endpoints, DynamoDB or RDS for data, S3 for files, CloudFront for delivery, and Cognito for login.
Side by side
| Cloudflare | Firebase | AWS | |
|---|---|---|---|
| Best at | Websites and lightweight APIs, served fast worldwide | Getting a working app live quickly | Large, regulated, or highly custom systems |
| Database | D1 (relational SQL), KV, Durable Objects | Firestore (document database, no joins) | Your choice: DynamoDB, RDS/Aurora (SQL), and more |
| Login | Not built in. Add a provider, or use Cloudflare Access for internal tools | Built in, and simple | Cognito: powerful, but fiddly to configure |
| What you maintain | Static files, a few Workers, SQL | Front-end code and security rules | Infrastructure code, many functions, and the wiring between them |
| Real-time updates | Possible with Durable Objects, more to build | A core feature, close to free to use | Possible, with several services involved |
| Cost at small scale | Very low; generous free tiers, no fees for files served out of R2 | Low; free tier is usable, pay-as-you-go after | Low to unpredictable; easy to misconfigure into a surprise bill |
| Where it hurts | Fewer ready-made pieces; some runtime limits | Reports and cross-record queries; read-heavy cost surprises | Complexity; every feature touches several services |
When Cloudflare is the right call
Business websites. A marketing site built with Next.js or plain static files deploys to Cloudflare Pages in minutes, serves from the network edge, and handles traffic spikes without configuration. DNS, SSL, caching, and redirects live in one dashboard. For most small-business sites, the hosting bill is near zero.
Light server work. Contact forms, webhooks, redirects, and small APIs fit in Workers. There are no servers to patch.
Relational data on a budget. D1 gives a site a real SQL database (tables, joins, aggregates) without paying for a database server that sits idle.
Cloudflare is the weaker choice when the app needs built-in login, real-time collaboration out of the box, or long-running background jobs. Those are all possible, but you assemble more of them yourself.
When Firebase is the right call
You need a working app, fast. Firebase removes most backend code. The app reads and writes data directly, login takes a few lines, and security rules enforce who sees what.
Real-time matters. Firestore pushes changes to every open screen instantly. Pii.link uses this for its timers: start a timer on a laptop and it is already running on the phone. Building that on the other two platforms takes noticeably more work.
One developer runs it. There is no infrastructure to manage. A small app can run for years on Firebase with no operations work beyond deploys.
Firebase gets harder when the questions get relational. Firestore stores separate documents, not linked tables, so "total hours for this client by month" or "every unpaid project across all clients" takes extra code or pre-computed summaries. If reporting is the product, plan for that from the start.
When AWS is the right call
Compliance and control. HIPAA, PCI-DSS, SOC 2, data residency, private networks: AWS has the controls and the audit trail.
The organization already runs on AWS. If the team, billing, and other systems live there, adding a second cloud costs more than it saves.
The system is large or unusual. AWS has a service for nearly every job, with fine control over scaling and cost once you know where to look.
AWS's customizability and range of services are top tier. After a lot of work on it, though, it was not as easy to build and run on as the other providers here, and that cost shows up on every feature. It rarely fits a small business site or a solo product.
The rebuild that never shipped
Pii.link has run on Firebase in production since it launched. In 2025 it was rebuilt on AWS: separate microservices for time tracking, clients, documents, and analytics, more than a dozen Lambda functions, infrastructure defined in code, and a six-tier role system. On paper it was more serious architecture.
It never shipped. Every feature touched several services, it projected to cost more to run than a simpler setup, and development time went to wiring instead of the product. The work moved back to a simpler Firebase setup, which is what users have always used.
The lesson for anyone choosing a platform: architecture that looks enterprise-ready does not make a product better. Match the platform to who maintains it and what the product actually does.
Lock-in, honestly
All three create dependencies.
- Cloudflare: Workers use web-standard APIs, so code moves fairly easily. D1 is SQLite, which exports cleanly.
- Firebase: Firestore's data model and security rules are specific to Firebase. Moving off means rewriting data access and authorization.
- AWS: Individual services are portable in principle, but an app wired across many of them is not.
For a static or mostly static business site, lock-in is low anywhere. For an app, decide up front which piece would be hardest to move, and keep it simple.
How to choose
- What is it? A website goes to Cloudflare. An app goes to the next question.
- Who maintains it? One developer or a small studio: Firebase or Cloudflare. A dedicated engineering team already on AWS: AWS.
- What does the data look like? Live updates and per-user records favor Firebase. Reporting across linked records favors SQL: D1 on Cloudflare, or RDS on AWS.
- Are there compliance requirements? If yes, start the conversation with AWS.
Most small-business projects stop at question one. The ones that don't are worth a short planning conversation before any code is written.
JKJR Digital Development sets up and maintains cloud infrastructure and hosting on Cloudflare, Firebase, and AWS, and builds Next.js applications for businesses in Northern Virginia and the DC metro area. If you are choosing a platform for a new site or app, start a conversation. This article was drafted with AI assistance, then edited and verified by a human.