What is Entity Framework?
Microsoft's ORM tool for.NET is called Entity Framework (EF). Instead of writing SQL queries directly, it enables developers to use C# objects to carry out database actions. Depending on whether we begin with code, a database, or a visual model, Entity Framework supports three primary database development approaches. Depending on the needs of the project, each strategy works in a different setting. Consider a library system, where EF manages the backend conversion of this object-oriented query into SQL.
You have classes like Book, Author, and Borrower.
Instead of writing SQL to fetch books, you just query the context.Books.Where(b => b.Author == "John").
A simple understanding of the differences between code and database.
| Code (C#) | Database (SQL) |
| Class |
→ Table |
| Property |
→ Column |
| Object (instance) |
→ Row |
EF Core 8, which includes.NET 8, is the most recent and stable version of Entity Framework as of 2025. It is excellent for real-world projects since it is more powerful, faster, and provides long-term support. In addition to supporting cloud databases like Azure SQL, EF Core 8 is compatible with other well-known databases, including SQL Server, PostgreSQL, SQLite, and MySQL. Because it facilitates cross-platform development, you can use it to create applications for Linux, macOS, and Windows. The Data Access Layer (DAL) of a layered.NET architecture uses Entity Framework (EF) to manage all database interactions. It enables developers to interact with C# objects rather than writing SQL queries directly, creating a clear division between data operations and business logic.
What is ORM (Object-Relational Mapping)?
ORM stands for Object-Relational Mapping. It is a programming technique that lets developers interact with a relational database (like SQL Server, MySQL, PostgreSQL) using the object-oriented paradigm (like C# or Java classes) without manually writing SQL queries for every operation.
ORM maps database tables to programming language classes and table rows to objects, so we can work with the database like working with regular code objects. ORM is like an interpreter that lets your code "talk" to the database in its own language — while you stay in your comfort zone of writing C#.
Imagine we have an Excel sheet (database) with rows and columns. Each row represents a record. Now think of C# classes as templates that match the structure of those rows. So instead of writing.
SELECT *
FROM Products
WHERE Price > 100;
With ORM (like Entity Framework), we can simply write.
var products = dbContext.Products
.Where(p => p.Price > 100)
.ToList();
The ORM converts that C# code into SQL behind the scenes and gets the data for us. Using an ORM offers several benefits; it avoids writing repetitive SQL code, keeps the application code cleaner and more readable, supports LINQ-based querying for more natural data access in C#, automatically maps foreign keys and relationships between tables, and makes the codebase easier to maintain, update, and test over time.
Entity Framework (EF) Approaches
Entity Framework supports three main development approaches for working with databases, depending on whether you start with code, a database, or a visual model. Each approach suits different scenarios based on project needs.
1. Code First Approach
In Code First, we start by writing C# classes that represent our data model. EF then creates the database schema based on these classes. Best suited for new projects where no existing database is present.
Use Cases: Provides complete control over the database schema through code, allowing the structure to be defined using C# classes. Ideal for scenarios that require continuous development and updates, as it supports easy schema evolution using migrations. Imagine we're building a Library Management System from scratch. We define classes like Book, Author, and Borrower in code.
public class Book {
public int Id { get; set; }
public string Title { get; set; }
public Author Author { get; set; }
}
EF uses these classes to generate tables like Books and Authors in the database.
2. Database First Approach
In the Database First method, we begin with an existing database, and Entity Framework then reverse-engineers the schema and generates the corresponding C# classes and DbContext.
Use Cases: Ideal for legacy systems or enterprise applications where the database is already created and maintained independently. This approach allows quick integration by generating the required entity classes and context directly from the existing schema, saving development time and ensuring consistency between the application and the established database structure. Imagine We're joining a team maintaining a Retail Inventory System. The SQL Server database already contains tables like Products, Suppliers, StockLevels, and PurchaseOrders, all designed and managed by a database administrator. Instead of manually recreating models, we use EF Core’s Scaffold-DbContext command to generate the entity classes and context.
dotnet ef dbcontext scaffold "DBConnectionString" Microsoft.EntityFrameworkCore.SqlServer
Now we can query context. Products or context.PurchaseOrders using LINQ, without writing SQL manually.
3. Model First Approach (EF6 only)
In Model First, we design our data model visually using the EF Designer (.edmx file). EF then generates both the database and the C# code.
Use Case: Suitable for visual-first development and rapid prototyping scenarios where the data model is designed using a graphical interface. This approach allows quick creation and modification of the model through a visual designer. It is only supported in Entity Framework 6 and is not available in EF Core. Imagine a Hospital Management System, where entities like Patient, Doctor, and Appointment are visually modeled with defined relationships.
Each appointment is linked to one patient and one doctor.
Doctors and patients can have multiple appointments.
In the Model First workflow using Entity Framework 6, development begins by opening the EF Designer within Visual Studio. Inside this design surface, entities such as Patient, Doctor, or Appointment are visually arranged to represent the intended data model. Relationships between entities are then defined, for example, linking appointments to both patients and doctors to establish clear entity interactions. Once the model is structured and all associations are in place, Entity Framework generates both the underlying SQL database schema and the C# codebase directly from the visual design, streamlining the transition from concept to implementation.
Why and When to Use Entity Framework (EF)?
Simplifies Data Access: EF allows working with databases using C# classes and LINQ instead of writing raw SQL, making development faster and easier.
Object-Relational Mapping (ORM): EF maps database tables to C# classes and rows to objects, providing a smooth object-oriented experience with relational data.
Ideal for CRUD Applications: EF is perfect for applications that need to perform Create, Read, Update, and Delete operations on structured data.
Supports Migrations and Versioning: EF (especially Code First) helps manage database schema changes over time using migrations, which is essential for agile development.
Available as a NuGet Package: EF is not built-in by default; it is available as a NuGet package, allowing you to install only what you need, such as Microsoft.EntityFrameworkCore for EF Core. If you're learning more about NuGet packages, read the full article at: https://www.c-sharpcorner.com/article/nuget-package-manager-in-net/
Conclusion
As my understanding goes, Entity Framework (EF) is a powerful and flexible ORM that simplifies data access in .NET applications. It allows developers to work with databases using C# code instead of raw SQL, making development faster, cleaner, and more maintainable. With different approaches like Code First, Database First, and Model First, EF supports a wide range of scenarios—from new projects to legacy systems. Whether building web apps, desktop software, or APIs, EF—especially EF Core—is a modern and efficient choice for building data-driven applications.