All three technologies offer comparable performance for basic CRUD (Create, Read, Update, Delete) operations. However, EF and L2S may encounter scalability issues with high-volume queries if not optimized properly. For bulk updates, stored procedures provide superior performance by eliminating data marshaling over the network.
EF excels in this area. Its designer allows seamless model synchronization with database changes, reducing synchronization issues. ORMs like EF generally speed up development for most scenarios, except for reporting-focused and data maintenance-only applications.
EF offers a clear advantage in terms of code cleanliness and maintainability. Its data model representation in code reduces the need for explicit joins and makes relationships self-evident.
Stored procedures and raw SQL provide greater flexibility for specific cases where optimized queries or native database functionality is required.
Each technology has its suitable use cases. For new projects, EF is recommended due to improved SQL generation and ease of maintenance. For bulk operations and specific database functionality, stored procedures are optimal. A balanced approach is advisable, combining EF for CRUD and middleware operations with stored procedures for high-volume queries.
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