ORM Tools vs Raw SQL

Developers should use ORM tools when building applications that require complex data models and frequent database interactions, such as web applications, enterprise software, or APIs, to reduce boilerplate SQL code and improve 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.

ORM Tools

Nice Pick

Developers should use ORM tools when building applications that require complex data models and frequent database interactions, such as web applications, enterprise software, or APIs, to reduce boilerplate SQL code and improve maintainability

Pros

• They are particularly valuable in projects using object-oriented languages like Python, Java, or C#, as they bridge the gap between application logic and relational databases, enhancing productivity and reducing errors from manual SQL handling
• 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 Tools is a tool while Raw SQL is a concept. We picked ORM Tools based on overall popularity, but your choice depends on what you're building.

The Bottom Line

ORM Tools wins

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