Firebase backends for fast-moving mobile and web apps
Firebase is Google's managed app platform, combining the Firestore document database with authentication, file storage, hosting, push messaging and serverless functions. It lets small teams ship mobile and web apps without running servers.
Firebase is excellent for real-time sync, offline-capable mobile apps and early products that need to move quickly. Its limits show with complex querying, reporting across collections and costs that scale with reads and writes. Security rules are the only thing between users and your data, so they must be written and tested with care. When an app outgrows it, or needs relational reporting, we often introduce a SQL database or suggest Supabase as an alternative.
What we build with Firebase / Firestore
- Firestore data modelling
- Security rules and testing
- Authentication and user management
- Cloud Functions and triggers
- Push notifications via Cloud Messaging
Firebase / Firestore questions
Is Firebase suitable for a production app?
Yes, many production apps run on it. The key is modelling data around your queries, writing strict security rules and watching read and write costs as usage grows.
Can we move off Firebase later?
Yes, though it takes planning because Firestore data and rules do not map directly to SQL. Keeping business logic out of the client makes a later move much easier.
How should data be structured in Firestore?
Firestore stores documents in collections, and each query should read from a predictable place without joins. We often duplicate small pieces of data across documents so common screens load in one query.
How do you test Firebase security rules?
We run the rules against the Firebase Local Emulator Suite with automated tests covering who can read and write each path. Rules are deployed from version control, never edited by hand in the console.
How do you keep Firebase costs predictable?
Firestore bills by reads, writes and storage, so we paginate lists, avoid listeners that re-read large collections and cache data on the device. Budget alerts in the cloud console catch unexpected spikes.
Can we back up Firestore data?
Yes. Firestore supports managed exports to Cloud Storage, which can be scheduled and later imported to restore data. We set these up early, since the console does not keep automatic history of your records.
What is the difference between Firestore and the Realtime Database?
The Realtime Database stores one large JSON tree and suits simple, low-latency syncing, while Firestore offers collections, richer queries and better scaling. We use Firestore for most new projects.
Does Firestore work offline?
Yes. The mobile and web SDKs cache data locally and queue writes while offline, then sync when the device reconnects. We design conflict handling for fields several users might edit.
What are Cloud Functions used for with Firebase?
They run server-side code in response to database changes, authentication events or HTTP requests, such as sending emails or validating payments. Keeping sensitive logic there stops it being exposed in the app.
How do you report on Firestore data?
Firestore is not built for complex reporting, so we export data to a warehouse such as BigQuery for analysis. That keeps heavy queries away from the live app and its costs.
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