Firebase vs AWS: How We Decide for Each Project

It’s not a religious debate

We’ve shipped production systems on both Firebase and AWS. Neither is "better" — they optimise for different constraints. The right choice depends on the client’s team, timeline, budget, and scale expectations.

Choose Firebase when:

Speed to market is the priority. Firebase gives you auth, database, hosting, push notifications, analytics, and crash reporting out of the box. For an MVP that needs to be live in 8 weeks, the time saved on infrastructure setup is worth the trade-offs.

The team is primarily frontend. Firebase’s client SDKs handle most backend concerns (auth, real-time queries, file uploads) directly from the app. If you don’t have dedicated backend engineers, Firebase lowers the barrier dramatically.

Real-time is a core requirement. Firebase Realtime Database and Firestore listeners provide sub-second updates without WebSocket infrastructure. For live GPS tracking, chat, or collaborative features, it’s unmatched for simplicity.

Choose AWS when:

You need full control. AWS gives you building blocks, not opinions. If the business logic is complex (multi-tenant, compliance-heavy, custom billing), you’ll fight Firebase’s conventions. AWS Lambda + DynamoDB gives you a blank canvas.

Cost predictability at scale. Firebase pricing can spike unexpectedly (reads are expensive at scale). AWS pricing is more linear and predictable. If you’re processing millions of API calls per month, AWS is typically cheaper.

The client has existing AWS infrastructure. If their team already manages IAM, VPCs, and CloudWatch, adding Lambda functions integrates cleanly. Forcing Firebase into an AWS shop creates operational complexity.

Our hybrid approach

For several projects, we use both: Firebase for mobile-facing services (auth, push, analytics, crash reporting) and AWS for the heavy backend (Lambda APIs, DynamoDB, S3). This gives us the best of both — Firebase’s mobile SDK convenience with AWS’s backend flexibility.