Micro ORM vs Raw SQL

Developers should learn and use Micro ORMs when working on projects that require high performance, such as web APIs or data-intensive applications, where full ORMs might introduce unnecessary complexity or overhead 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.

Micro ORM

Nice Pick

Developers should learn and use Micro ORMs when working on projects that require high performance, such as web APIs or data-intensive applications, where full ORMs might introduce unnecessary complexity or overhead

Pros

• They are ideal for scenarios where you need to write custom SQL queries but want to avoid manual data mapping, offering a balance between raw SQL and automated ORM features
• 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. Micro ORM is a tool while Raw SQL is a concept. We picked Micro ORM based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Micro ORM wins

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