Database Views vs Materialized Views

Developers should use database views to abstract complex joins and aggregations, making queries easier to write and maintain in applications like reporting systems or dashboards 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 Views

Nice Pick

Developers should use database views to abstract complex joins and aggregations, making queries easier to write and maintain in applications like reporting systems or dashboards

Pros

• They are essential for implementing row-level or column-level security, such as in multi-tenant applications where users only see their own data
• Related to: sql, database-design

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

Use Database Views if: You want they are essential for implementing row-level or column-level security, such as in multi-tenant applications where users only see their own data and can live with specific tradeoffs depend on your use case.

Use Materialized Views if: You prioritize they are ideal for scenarios where real-time data is not critical, as they reduce database load and latency by serving precomputed results over what Database Views offers.

The Bottom Line

Database Views wins

Developers should use database views to abstract complex joins and aggregations, making queries easier to write and maintain in applications like reporting systems or dashboards