ORM Frameworks vs Raw SQL

Developers should learn ORM frameworks when building data-driven applications, such as web services, enterprise software, or mobile apps, to reduce boilerplate SQL code, improve productivity, and minimize errors in database interactions 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.

ORM Frameworks

Nice Pick

Developers should learn ORM frameworks when building data-driven applications, such as web services, enterprise software, or mobile apps, to reduce boilerplate SQL code, improve productivity, and minimize errors in database interactions

Pros

• They are particularly useful in projects using object-oriented languages like Python, Java, or C#, where maintaining a clean separation between business logic and data access layers is critical for scalability and maintainability
• 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. ORM Frameworks is a framework while Raw SQL is a concept. We picked ORM Frameworks based on overall popularity, but your choice depends on what you're building.

The Bottom Line

ORM Frameworks wins

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