Django ORM vs Raw SQL in 2025: When to Drop Down and Why
📰 Dev.to · Aleksei Aleinikov
Learn when to use Django ORM vs Raw SQL to optimize your Django app's performance
Action Steps
- Add indexes to WHERE-heavy fields to improve query performance
- Analyze your database queries to identify bottlenecks
- Use Django's built-in query optimization tools, such as select_related() and prefetch_related()
- Consider using Raw SQL for complex, high-performance queries
- Test and compare the performance of ORM and Raw SQL queries
Who Needs to Know This
Backend developers and software engineers working with Django can benefit from understanding the trade-offs between Django ORM and Raw SQL to improve their app's performance
Key Insight
💡 Adding indexes and optimizing queries with Django's built-in tools can often resolve performance issues before needing to drop down to Raw SQL
Share This
🚀 Boost your Django app's performance by knowing when to use ORM vs Raw SQL! 🛠️
Key Takeaways
Learn when to use Django ORM vs Raw SQL to optimize your Django app's performance
Full Article
🛠 Your Django app is slow. Do this before reaching for Raw SQL: ✅ Add indexes to WHERE-heavy fields ✅...
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