ORM Queries vs Raw SQL

Developers should learn ORM queries to improve productivity and maintainability in applications that use relational databases, such as web backends, enterprise software, or data-driven mobile apps 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 Queries

Nice Pick

Developers should learn ORM queries to improve productivity and maintainability in applications that use relational databases, such as web backends, enterprise software, or data-driven mobile apps

Pros

• They are particularly useful when working with complex data models, as they reduce boilerplate SQL code, minimize errors, and facilitate database-agnostic development
• 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

Use ORM Queries if: You want they are particularly useful when working with complex data models, as they reduce boilerplate sql code, minimize errors, and facilitate database-agnostic development and can live with specific tradeoffs depend on your use case.

Use Raw SQL if: You prioritize 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 over what ORM Queries offers.

The Bottom Line

ORM Queries wins

Developers should learn ORM queries to improve productivity and maintainability in applications that use relational databases, such as web backends, enterprise software, or data-driven mobile apps