Full ORM vs Raw SQL

Developers should use Full ORMs when building applications with complex data models and object-oriented architectures, such as enterprise systems, web applications, or APIs, to improve productivity and maintainability 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 use Full ORMs when building applications with complex data models and object-oriented architectures, such as enterprise systems, web applications, or APIs, to improve productivity and maintainability

Pros

• It's particularly beneficial in scenarios requiring rapid development, as it minimizes SQL writing and handles database migrations, transactions, and caching
• 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.