Apache Cassandra vs MongoDB

The distributed database that scales like a dream but queries like a nightmare meets the database for when you want to store json and pretend it's a schema. Here's our take.

Apache Cassandra

Nice Pick

The distributed database that scales like a dream but queries like a nightmare.

Pros

• Massive horizontal scalability with no single point of failure
• Excellent write performance for time-series and IoT data
• Flexible schema design that evolves without downtime

Cons

• Complex querying with limited JOIN support
• Steep learning curve for data modeling and tuning

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 Apache Cassandra if: You want massive horizontal scalability with no single point of failure and can live with complex querying with limited join support.

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

The Bottom Line

Apache Cassandra wins

The distributed database that scales like a dream but queries like a nightmare.