firestore-data-modeling-patterns

What problem does it solve?

Firestore data modeling best practices to optimize query patterns, scalability, and cost, including guidance on subcollections vs root collections, embedding vs referencing, and atomic operations.

Core Features & Use Cases

• Subcollections vs root collections decision patterns with practical examples
• Embedding vs referencing guidance for 1-to-1, 1-to-many, and many-to-many relationships
• Atomic operations using transactions and batched writes with tradeoffs
• Document structure best practices and common pitfalls in Firestore

Quick Start

Draft a minimal model by deciding which data lives under subcollections and which belongs in root collections, then implement a simple transaction to validate consistency.