Full ORM vs Raw SQL

Developers should learn and use Full ORM when building applications with complex data models, such as enterprise systems, web applications, or APIs, where object-oriented design is preferred over direct SQL manipulation meets developers should use raw sql when they need to write complex queries that orms cannot handle efficiently, such as advanced joins, subqueries, or database-specific functions like window functions in postgresql. Here's our take.

Full ORM

Nice Pick

Developers should learn and use Full ORM when building applications with complex data models, such as enterprise systems, web applications, or APIs, where object-oriented design is preferred over direct SQL manipulation

Pros

• It is particularly useful in scenarios requiring rapid development, maintainability, and database portability, as it abstracts database-specific details and enforces consistency
• Related to: sql, database-design

Cons

• Specific tradeoffs depend on your use case

Raw SQL

Developers should use Raw SQL when they need to write complex queries that ORMs cannot handle efficiently, such as advanced joins, subqueries, or database-specific functions like window functions in PostgreSQL

Pros

• It is also essential for performance-critical applications where query optimization is crucial, and for tasks like database migrations or reporting that require precise control over SQL execution
• Related to: sql, relational-databases

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Full ORM is a tool while Raw SQL is a concept. We picked Full ORM based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Full ORM wins

Based on overall popularity. Full ORM is more widely used, but Raw SQL excels in its own space.