dotnet-data-access-strategy

Choosing a .NET data access strategy requires weighing performance, learning curves, and AOT compatibility. This framework compares EF Core, Dapper, and ADO.NET across these factors to help you decide the optimal approach for your application.

For maximum .NET data access performance, Dapper and raw ADO.NET generally outperform EF Core by reducing abstraction overhead. This framework analyzes these performance tradeoffs alongside learning curves and AOT support to guide your selection.

EF Core has specific limitations regarding Native AOT and trimming compatibility compared to Dapper and raw ADO.NET. This framework evaluates AOT support across all three data access strategies to ensure your chosen method fits trimming requirements.

A hybrid .NET data access approach combines EF Core for rapid development with Dapper or ADO.NET for high-performance queries. This framework facilitates informed technology choices by analyzing combinations for diverse application requirements.

You should avoid EF Core when your application demands maximum query performance or strict Native AOT compatibility. This framework outlines these constraints and compares them against Dapper and ADO.NET to prevent costly persistence layer mistakes.