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