Query Caching vs Materialized Views

Developers should use query caching when building high-traffic applications where database queries or API calls are expensive, repetitive, and read-heavy, such as in e-commerce sites, social media platforms, or content management systems 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.

Query Caching

Nice Pick

Developers should use query caching when building high-traffic applications where database queries or API calls are expensive, repetitive, and read-heavy, such as in e-commerce sites, social media platforms, or content management systems

Pros

• It is essential for reducing server load, minimizing response times, and handling concurrent users efficiently, especially in scenarios with frequently accessed but infrequently updated data like product listings or user profiles
• 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. Query Caching is a concept while Materialized Views is a database. We picked Query Caching based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Query Caching wins

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