MongoDB vs Firestore

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

MongoDB

Nice Pick

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

Firestore

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

The Verdict

Use MongoDB if: You want flexible schema allows rapid prototyping and iteration and can live with lack of enforced schema can lead to messy data over time.

Use Firestore if: You prioritize real-time data synchronization out of the box over what MongoDB offers.

The Bottom Line

MongoDB wins

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