Database Caching vs Materialized Views

Developers should implement database caching when building high-traffic web applications, real-time systems, or services requiring low-latency data access, such as e-commerce platforms, social media feeds, or gaming leaderboards meets developers should use materialized views when dealing with slow, complex queries in read-heavy applications, such as reporting dashboards, data analytics, or caching frequently accessed data. Here's our take.

Database Caching

Nice Pick

Developers should implement database caching when building high-traffic web applications, real-time systems, or services requiring low-latency data access, such as e-commerce platforms, social media feeds, or gaming leaderboards

Pros

• It is crucial for optimizing performance in scenarios with repetitive read-heavy workloads, reducing database costs, and preventing bottlenecks during traffic spikes
• Related to: redis, memcached

Cons

• Specific tradeoffs depend on your use case

Materialized Views

Developers should use materialized views when dealing with slow, complex queries in read-heavy applications, such as reporting dashboards, data analytics, or caching frequently accessed data

Pros

• They are ideal for scenarios where real-time data is not critical, as they reduce database load and latency by serving precomputed results
• Related to: postgresql, oracle-database

Cons

• Specific tradeoffs depend on your use case

The Verdict

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

The Bottom Line

Database Caching wins

Based on overall popularity. Database Caching is more widely used, but Materialized Views excels in its own space.