Firestore Data Modelling
Collections, indexes and denormalisation planned around how your app reads data, so queries stay fast and bills stay predictable.
We design and build Firebase backends for Flutter and web apps: data models that stay fast at scale, Cloud Functions that hold your business logic, and security rules you can trust.
What We Do
Collections, indexes and denormalisation planned around how your app reads data, so queries stay fast and bills stay predictable.
Business logic, webhooks, scheduled jobs and third-party integrations in typed, tested Cloud Functions.
Firebase Authentication with email, social and phone sign-in, plus security rules tested against every role.
Real-time alerts through Firebase Cloud Messaging, targeted and timed so users keep them switched on.
Analytics events, Crashlytics and Remote Config set up from launch, so every release can be measured.
Reviews of existing Firebase projects for read-heavy queries, rule gaps and runaway costs, with a fix plan.
How the work runs
Firebase gets a product live quickly, but the early decisions, such as data shape, rules and function boundaries, decide whether it still works at ten thousand daily users. We make those calls on purpose, up front.
If your product needs relational data, complex reporting or SQL, we will tell you, and Supabase may be the better fit.
Reads, writes and indexes are planned before screens are built, which keeps Firestore costs flat as usage grows.
TypeScript, shared types with the app and tests, so backend changes do not break clients silently.
Security rules are covered by emulator tests for every role, not left in test mode.
Crashlytics, alerts and budget limits configured before launch, not after the first incident.
Case study: UpAlerts, real-time job alerts on Firebase for 10,000 daily active users
Tech Stack
Firebase with Firestore, Auth, Cloud Functions and FCM, a Flutter client, and Node.js or Python services where a workload outgrows Functions.
Supabase
Need Answers
For most early-stage mobile apps, yes. Firebase gives you auth, a real-time database, functions, push and analytics without running servers, which gets an MVP live faster.
Yes, if the data model and queries are designed for it. UpAlerts, a Flutter app we built on Firebase, serves 10,000 daily active users.
Yes. We write Cloud Functions in TypeScript with shared types and tests, which makes backend changes safer for both the app and the functions.
Often. Most high Firebase bills come from unbounded reads, missing indexes or chatty listeners. We audit usage and fix the queries that cost the most.
Firebase suits real-time, document-shaped mobile apps that need to ship quickly. Supabase suits products with relational data, SQL reporting or a need to avoid lock-in. We help you choose before you build.
Tell us what you’re building, where you are today, and what you’re trying to achieve.
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