Object–relational mapping (ORM) is a programming technique for converting data between incompatible type systems using object-oriented programming languages. This creates, in effect, a “virtual object database” that can be used from within the programming language.
In essence, ORM is a design pattern for converting (wrapping) that data stored within a relational database into an object that can be used within an object oriented language. It creates a layer between the language and the database, helping programmers work with data without the OOP paradigm.
Compared to traditional techniques of exchange between an object-oriented language and a relational database, ORM often reduces the amount of code that needs to be written. It standardizes interfaces reducing boilerplate and speeding development time. Advocates of ORMs claim they increase productivity, improve application design, reuse code and maintain the application over time. On the other hand, ORM suffers the disadvantage of the abstraction obscuring what’s happening in the code. And over-use of ORM software can produce poorly designed databases.
There is a good range of ORM software available. Here’s our verdict captured in a legendary ratings chart. Only free and open source software is eligible for inclusion.
Let’s explore the 8 ORM tools for .NET. For each program we have compiled its own portal page, a full description with an in-depth analysis of its features, together with links to relevant resources.
| C# Object-Relational Mapping Software | |
|---|---|
| Entity Framework Core | Modern object-database mapper for .NET. |
| Dapper | Simple object mapper for .NET |
| NHibernate | Mature, open source object-relational mapper for .NET |
| LINQ to DB | LINQ database access library |
| SqlSugar | Fluent API for querying and modifying databases |
| FreeSql | Povides APIs for querying and modifying relational databases |
| RepoDB | Hybrid ORM library for .NET |
| Venflow | Fast and lightweight ORM for PostgreSQL |
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