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You use ORMs to make database work easy. It feels natural to work with objects. But this ease has a cost. You often ignore what happens in the background.
ORMs increase productivity.
- You build features faster.
- You write less repetitive code.
- Your codebase stays clean.
- You get tools like connection pooling.
Problems appear when your app gets traffic.
- N+1 query problem: One request triggers 101 queries.
- Over-fetching: You pull 50 columns when you need two.
- Poor SQL: The tool writes slow queries.
- Memory waste: Objects use more RAM than raw data.
You do not need to pick one tool. Use a hybrid approach.
- Use ORMs for simple tasks like creating users.
- Use raw SQL for complex reports and big data.
- This gives you speed and control.
How to keep your app fast:
- Log your queries to see the real SQL.
- Use eager loading to stop N+1 issues.
- Request only the columns you need.
- Fix your database indexes.
ORMs are tools. The best developers use them with SQL knowledge. Check your queries often. Balance convenience with performance.
Source: https://dev.to/akshatjme/how-orms-affect-performance-the-benefits-trade-offs-and-hidden-costs-3g28