Database Normalization vs NoSQL Databases

Developers should learn and apply database normalization when designing relational databases to ensure data consistency, minimize storage space, and avoid update anomalies that can corrupt data integrity meets developers should learn nosql databases when building applications requiring horizontal scaling, high throughput, or handling diverse data formats like json, xml, or graphs. Here's our take.

Database Normalization

Nice Pick

Developers should learn and apply database normalization when designing relational databases to ensure data consistency, minimize storage space, and avoid update anomalies that can corrupt data integrity

Pros

• It is crucial in scenarios involving transactional systems, enterprise applications, or any project where data accuracy and reliability are paramount, such as financial software or customer relationship management (CRM) systems
• Related to: relational-database-design, sql

Cons

• Specific tradeoffs depend on your use case

NoSQL Databases

Developers should learn NoSQL databases when building applications requiring horizontal scaling, high throughput, or handling diverse data formats like JSON, XML, or graphs

Pros

• They are ideal for use cases such as big data processing, real-time web apps, social networks, and caching layers where relational databases may be too rigid or slow
• Related to: mongodb, redis

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Database Normalization is a concept while NoSQL Databases is a database. We picked Database Normalization based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Database Normalization wins

Based on overall popularity. Database Normalization is more widely used, but NoSQL Databases excels in its own space.