MongoDB vs DynamoDB

The database for when you want to store JSON and pretend it's a schema meets aws's nosql powerhouse that scales like a dream but makes you think in keys and indexes. 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

DynamoDB

AWS's NoSQL powerhouse that scales like a dream but makes you think in keys and indexes.

Pros

• Serverless architecture with automatic scaling
• Single-digit millisecond latency for most operations
• Built-in backup and point-in-time recovery
• Seamless integration with other AWS services

Cons

• Pricing can be unpredictable with high throughput
• Limited query flexibility compared to relational databases

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 DynamoDB if: You prioritize serverless architecture with automatic scaling over what MongoDB offers.

The Bottom Line

MongoDB wins

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