Firebase development in Kolkata

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Firebase development

A backend you do not have to operate — excellent for getting a mobile product live quickly, with a known ceiling.

App platform

Chosen per project

Maintainable handover

Firebase removes an enormous amount of early work. Authentication with phone and social sign-in, a real-time database that syncs across devices, push notifications, crash reporting and analytics — all without provisioning or maintaining a server.

It is genuinely the fastest route to a working mobile product. The trade-off is worth knowing in advance: Firestore’s querying is limited compared with SQL, and costs are driven by document reads, so a careless listener can become expensive at scale.

What we build with Firebase

Mobile apps needing authentication and push quickly

Real-time features — chat, live tracking, collaborative editing

MVPs validating an idea before investing in infrastructure

Apps where operating a backend is not worth the overhead

Where it fits — and where it does not

Good fit when

Speed to a working product is the priority

Real-time synchronisation is a core feature

Phone-number authentication is needed, as it often is in India

The team has no appetite for server operations

Consider something else when

Complex reporting and multi-collection queries

Read-heavy workloads, where per-read pricing adds up

Products likely to need to leave the platform later

Platform services

What Firebase replaces

The value is not any single service but the fact that one SDK covers work that would otherwise mean several systems to build and operate.

Authentication

Phone, email and social sign-in.

Firestore

Real-time document database with offline sync.

Cloud Functions

Server-side logic without a server.

Firebase project

One SDK, one console, no servers to run.

Messaging

Push notifications to both platforms.

Storage

User uploads with access rules.

Crashlytics

Crash reporting and analytics.

How we work with Firebase

Security rules as code

Firestore rules written, reviewed and tested with the emulator — they are the entire authorisation layer.

Read-shaped data

Documents modelled around the screens that read them, since queries cannot join.

Cost control

Listener scope and pagination designed deliberately; unbounded listeners are the usual cause of a surprise bill.

Exit awareness

Business logic kept out of client code so the platform can be left later without a rewrite.

Our typical Firebase setup

Typical Firebase stack choices and what we use for each
ConcernWhat we use
DatabaseCloud Firestore, modelled around read patterns
AuthenticationPhone, email and social providers
Server logicCloud Functions for anything untrusted on the client
SecurityFirestore rules, tested with the emulator suite
MessagingFirebase Cloud Messaging for push
MonitoringCrashlytics and Performance Monitoring

Frequently asked questions

For mobile apps and early-stage products, yes — authentication, real-time sync and push are genuinely strong. As data and reporting needs grow, the query limits and per-read pricing often justify moving the data layer elsewhere.

Mainly by document reads, writes and storage. Costs surprise people when listeners are unscoped or a screen re-reads a collection unnecessarily. Designed carefully it is inexpensive; designed carelessly it is not.

Data exports cleanly, but any business logic written into the client has to be rebuilt. We keep logic in Cloud Functions or a service layer precisely so that migration stays possible.

Topics people search for

Services built with Firebase

Tell us what you are trying to build

Describe the problem in plain language and we will tell you what it would take to solve it — the approach, the moving parts and the sensible order to build them in. No obligation either way.

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