MBaaS — When to Use a Mobile Backend as a Service

Mobile Backend as a Service (MBaaS) gives you backend primitives — auth, database, storage, push, sync — out of the box. It's the fastest way to ship a mobile app backend.

But speed isn't the only thing that matters. MBaaS also introduces cost and lock-in. Here's how we decide for clients.

What MBaaS provides

Authentication — Email, social, phone, MFA

Database — Real-time or document-based

Storage — Files, images, user content

Push notifications — iOS + Android

Cloud functions — Server-side logic

Analytics — Basic usage tracking

Crash reporting — From the same vendor (sometimes)

The main players in 2026

Firebase (Google)

Most mature, broadest feature set

Real-time database, Firestore

Excellent client SDKs

Strong lock-in (Firestore data model is Firebase-specific)

Supabase

Open-source, Postgres-based

SQL, not proprietary NoSQL

Less lock-in than Firebase

Growing but less mature

AWS Amplify

Enterprise-grade

Deep integration with AWS services

Steeper learning curve

Complex pricing

Others: Parse Platform, Back4App, Backendless

When MBaaS is the right choice

MVP or prototype

Small team without backend expertise

Standard auth + database + push use case

Time-to-market matters more than cost

Budget to absorb vendor pricing at scale

When to build your own backend

Custom business logic that doesn't fit MBaaS primitives

Data residency or compliance requirements

Cost at scale justifies the engineering investment

Existing backend team and infrastructure

Multi-platform consistency (mobile + web + API consumers)

Cost modeling

MBaaS pricing scales with usage. Cheap for prototypes, expensive at scale.

Examples:

Firestore: $0.06 per 100K reads. A user opening your app could cost pennies per session.

Firebase Cloud Functions: $0.40 per million invocations, plus compute time.

Storage: $0.026/GB/month for Firebase.

A mobile app with 100K daily active users can easily hit $5K–50K/month on Firebase. That's the trade-off for speed.

Lock-in considerations

The main lock-in risks:

Proprietary data models (Firestore, Amplify)

Proprietary APIs (can't swap vendors easily)

Proprietary auth flows (user migration is painful)

Functions tied to vendor runtime

Mitigation:

Abstract MBaaS behind your own interface

Use SQL-based vendors (Supabase) where possible

Keep auth portable (Auth0, Clerk, or Supabase Auth)

Offline sync

The hardest MBaaS problem: offline sync.

Firebase offers built-in offline support (Firestore)

Supabase requires custom sync logic

Amplify DataStore provides offline for GraphQL

If offline is critical to your app, test the MBaaS offline behavior before committing.

Common mistakes

Choosing MBaaS without modeling cost at scale

Deep-coupling app to MBaaS API shape

Ignoring lock-in until it's too late

Skipping offline sync testing

Not abstracting auth