Firebase Development Company

Yes, with proper data modelling. Firestore scales to millions of documents and concurrent connections. The key is designing your data structure for your specific access patterns — Matlab Infotech's Firestore modelling expertise prevents the cost and performance traps that come from relational thinking applied to document databases.

Firebase costs scale with reads, writes, and network egress. We reduce costs by denormalising data to avoid unnecessary reads, using Firestore bundles for static content, implementing client-side caching, limiting query result sizes, and monitoring usage with Firebase console alerts.

Yes — it's one of Firebase's strongest use cases. Firestore listeners push updates to all connected clients instantly. We implement optimistic updates, conflict resolution, and presence (who's online) using Firestore listeners and RTDB for latency-sensitive presence data.

Firestore security rules are database-layer access control expressions evaluated server-side. They enforce authentication, authorisation, and data validation before any read or write reaches your database. We write comprehensive rules with unit tests using the Firebase Emulator Suite.

Consider migrating away from Firebase when: you need complex relational queries or transactions, your Firestore costs exceed a custom backend equivalent, you need HIPAA/PCI compliance (Firebase is not certified for these), or you want full data portability and no vendor lock-in.

Yes — hybrid architectures are common. Firebase Auth + Firestore for client-facing real-time features, with a Node.js or Python API handling heavy processing, payments, and third-party integrations. Cloud Functions bridge the two layers cleanly.