Databases

.NET SQL Server

Using SQL Server

.NET SQL Server uses EF Core or ADO.NET for queries.

Introduction to .NET SQL Server Integration

Integrating SQL Server with .NET applications is a common requirement for many developers. The .NET ecosystem provides two primary approaches for interacting with SQL Server: Entity Framework Core (EF Core) and ADO.NET. Each approach has its own set of advantages and use cases, which we will explore in this guide.

Using Entity Framework Core with SQL Server

Entity Framework Core (EF Core) is a modern Object-Relational Mapper (ORM) for .NET. It enables developers to work with databases using .NET objects, eliminating most of the data-access code developers typically need to write. Here's how you can set up EF Core to work with SQL Server:

After installing the required packages, you need to configure the database context in your application. The database context is the main class that coordinates EF Core functionality for a given data model.

Next, configure the connection string in your application's configuration file, and pass it to your DbContext:

EF Core enables you to perform CRUD operations using LINQ. Here is a simple example of how to retrieve data from the database:

Using ADO.NET with SQL Server

ADO.NET is a low-level data access technology that provides a more hands-on approach to interacting with databases. It is perfect for scenarios where you need to closely manage database interactions.

ADO.NET requires more manual data handling compared to EF Core, but it can be beneficial for performance-critical applications where fine-tuned control over SQL queries and results is needed.

Choosing Between EF Core and ADO.NET

The choice between EF Core and ADO.NET largely depends on the specific requirements of your application. EF Core offers a higher level of abstraction and easier data manipulation through LINQ, making it ideal for most scenarios. ADO.NET, on the other hand, provides more granular control over database operations, which can be advantageous in performance-sensitive contexts.

Understanding the strengths and limitations of each approach will help you make an informed decision and optimize the data access layer of your .NET applications.