Raw SQL vs SQLAlchemy

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 meets developers should learn sqlalchemy when building python applications that require database interactions, as it simplifies data persistence and querying while maintaining sql's power and flexibility. Here's our take.

Raw SQL

Nice Pick

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

SQLAlchemy

Developers should learn SQLAlchemy when building Python applications that require database interactions, as it simplifies data persistence and querying while maintaining SQL's power and flexibility

Pros

• It is particularly useful for web applications (e
• Related to: python, orm

Cons

• Specific tradeoffs depend on your use case

The Verdict

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

The Bottom Line

Raw SQL wins

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