Flows • The Pain Points of Data Handling • Why TanStack Query Firebase? • Firebase Data Connect Overview • Real World Patterns & Best Practices. • Summary • Final Tips & Q&A
Handling data changes over time -dynamic data • Listening to Firestore document changes • Fetching from Firebase Data Connect • Responding to authentication state • Mutating data and syncing UI
• Multiple manual subscriptions • Re-fetching = network overload • Stale data across tabs or sessions • Complex error/loading state management • Memory leaks from forgotten unsubscribes
Deep integration with Firebase Data Connect • Uses generated SDKs for zero-boilerplate usage • Strong TypeScript typings from schema • Simplifies mutation, query, and invalidation flows
refetch intervals based on use case • Avoid overriding query keys unless necessary • Use metadata for debugging and analytics • Treat mutations as state transitions