Full ORM vs Micro ORMs
Developers should use Full ORMs when building applications with complex data models and object-oriented architectures, such as enterprise systems, web applications, or APIs, to improve productivity and maintainability meets developers should use micro orms when working on projects that require high performance, fine-grained control over sql, or minimal dependencies, such as in microservices, apis, or legacy system integrations. Here's our take.
Full ORM
Developers should use Full ORMs when building applications with complex data models and object-oriented architectures, such as enterprise systems, web applications, or APIs, to improve productivity and maintainability
Full ORM
Nice PickDevelopers should use Full ORMs when building applications with complex data models and object-oriented architectures, such as enterprise systems, web applications, or APIs, to improve productivity and maintainability
Pros
- +It's particularly beneficial in scenarios requiring rapid development, as it minimizes SQL writing and handles database migrations, transactions, and caching
- +Related to: sql, database-design
Cons
- -Specific tradeoffs depend on your use case
Micro ORMs
Developers should use Micro ORMs when working on projects that require high performance, fine-grained control over SQL, or minimal dependencies, such as in microservices, APIs, or legacy system integrations
Pros
- +They are ideal for scenarios where full ORM features like change tracking or complex relationships are unnecessary, and when developers prefer writing raw SQL or need to optimize database queries for speed and efficiency
- +Related to: sql, database-design
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Full ORM if: You want it's particularly beneficial in scenarios requiring rapid development, as it minimizes sql writing and handles database migrations, transactions, and caching and can live with specific tradeoffs depend on your use case.
Use Micro ORMs if: You prioritize they are ideal for scenarios where full orm features like change tracking or complex relationships are unnecessary, and when developers prefer writing raw sql or need to optimize database queries for speed and efficiency over what Full ORM offers.
Developers should use Full ORMs when building applications with complex data models and object-oriented architectures, such as enterprise systems, web applications, or APIs, to improve productivity and maintainability
Disagree with our pick? nice@nicepick.dev