Dynamic

Firestore vs MongoDB

Google's real-time database that makes syncing feel like magic, until you hit the query limits meets the database for when you want to store json and pretend it's a schema. Here's our take.

🧊Nice Pick

Firestore

Google's real-time database that makes syncing feel like magic, until you hit the query limits.

Firestore

Nice Pick

Google's real-time database that makes syncing feel like magic, until you hit the query limits.

Pros

  • +Real-time data synchronization out of the box
  • +Offline support for mobile and web apps
  • +Automatic scaling with minimal operational overhead
  • +Seamless integration with Firebase and Google Cloud services

Cons

  • -Query limitations can be restrictive for complex data structures
  • -Costs can escalate quickly with high read/write volumes

MongoDB

The database for when you want to store JSON and pretend it's a schema.

Pros

  • +Flexible schema allows rapid prototyping and iteration
  • +Native JSON-like document storage fits well with modern web apps
  • +Horizontal scaling with sharding is straightforward
  • +Aggregation pipeline is powerful for complex queries

Cons

  • -Lack of enforced schema can lead to messy data over time
  • -Joins are clunky compared to relational databases

The Verdict

Use Firestore if: You want real-time data synchronization out of the box and can live with query limitations can be restrictive for complex data structures.

Use MongoDB if: You prioritize flexible schema allows rapid prototyping and iteration over what Firestore offers.

🧊
The Bottom Line
Firestore wins

Google's real-time database that makes syncing feel like magic, until you hit the query limits.

Disagree with our pick? nice@nicepick.dev