dotnet-data-access-strategy

Choosing between EF Core and Dapper for .NET data access requires analyzing performance tradeoffs, learning curve, and feature requirements. A decision framework comparing these ORMs against project needs helps facilitate informed technology selection.

For .NET AOT compatibility, raw ADO.NET and Dapper generally offer better trimming support than EF Core. Evaluating AOT compatibility is a critical factor when selecting a data access strategy for high-performance .NET applications.

You can combine EF Core and Dapper in a single .NET application by using a hybrid approach. This strategy effectively balances rapid development features with high-performance queries where needed.

Use raw ADO.NET instead of Dapper when you require maximum performance and fine-grained control over database interactions. A decision matrix can help determine if the added complexity of ADO.NET is justified for your specific scenario.

When evaluating .NET data access performance, consider the tradeoffs between development speed, query efficiency, and AOT support. Comparing EF Core, Dapper, and ADO.NET across these dimensions ensures an informed decision.

To start selecting a .NET data access strategy, define your project's performance and AOT compatibility requirements. Then use a decision framework to compare EF Core, Dapper, and ADO.NET against those specific constraints.