Regular Views vs Stored Procedures

Developers should use regular views to encapsulate complex joins, aggregations, or filtering logic, making queries more readable and maintainable in applications meets developers should use stored procedures when they need to centralize business logic within the database for consistency, optimize performance by reducing round-trips between application and database, and enforce security by limiting direct table access. Here's our take.

Regular Views

Nice Pick

Developers should use regular views to encapsulate complex joins, aggregations, or filtering logic, making queries more readable and maintainable in applications

Pros

• They are essential for implementing row-level or column-level security in databases, such as hiding sensitive data from unauthorized users
• Related to: sql, relational-databases

Cons

• Specific tradeoffs depend on your use case

Stored Procedures

Developers should use stored procedures when they need to centralize business logic within the database for consistency, optimize performance by reducing round-trips between application and database, and enforce security by limiting direct table access

Pros

• Common use cases include batch processing, data validation, and complex transactional operations where atomicity is critical, such as in financial or inventory systems
• Related to: sql, database-design

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Regular Views if: You want they are essential for implementing row-level or column-level security in databases, such as hiding sensitive data from unauthorized users and can live with specific tradeoffs depend on your use case.

Use Stored Procedures if: You prioritize common use cases include batch processing, data validation, and complex transactional operations where atomicity is critical, such as in financial or inventory systems over what Regular Views offers.

The Bottom Line

Regular Views wins

Developers should use regular views to encapsulate complex joins, aggregations, or filtering logic, making queries more readable and maintainable in applications