Data querying techniques have evolved to meet the demands of modern software development. LINQ, SQL, Entity Framework (EF), and Raw ADO.NET are popular options, each with its strengths and weaknesses. This article compares these approaches, highlighting their advantages and limitations.

LINQ excels in ease of use, productivity, and type safety, making it ideal for rapid development and maintainability. SQL is powerful and expressive, especially when performance is a priority. Raw ADO.NET offers the highest level of control and performance but requires increased complexity and maintenance overhead. Entity Framework provides a balance between flexibility and control.

The choice of data querying technique depends on project requirements, including performance needs, developer expertise, and data interaction complexity. By understanding each approach's strengths and weaknesses, developers can make informed decisions for their applications.

Source: https://dev.to/ferhatacar/comparing-linq-with-other-data-querying-techniques-34fn