Since we as developers are writing queries and dapper and only doing the mapping to POCOs, it is being called as micro ORM or mini ORM. Dapper, on the other hand, lets developers write their own SQL to perform database operations and map the results to C# objects, i.e., POCOs (Plain Old CLR Objects).
This process has some performance overhead and the generated queries are often black box for the developers. Other ORMs like Entity Framework generate the queries automatically based on how the Objects are being used/fetched (CRUD) in the application. The main focus of Dapper is on performance and simplicity of use. Dapper is often called as Micro ORM as it is light weight and does not provide so many features that are provided by other ORMs like NHibernate or Entity Framework. There are many ORMs being used like Entity Framework (EF), NHibernate, Dapper, etc.
#Dapper orm software
Let's first start the discussion by understanding what an ORM is: an ORM or Object-relational mapper is a piece of software that helps us in converting data between incompatible type systems, i.e., relational databases and object-oriented programming languages. Developers who are totally oblivious to the concept of ORMs will probably be asking “What is dapper? What are the benefits of using it and is it an alternative to ADO.NET?” ADO.NET has been around since many years and there are a lot of systems running over ADO.NET. BackgroundĪDO.NET is a very strong framework for data access. Many experienced developers will find this article very basic but since the article is written from the perspective of beginners, I’ve tried to keep things simple. The article is meant for developers who are primarily using ADO.NET to write their data access layers. This article introduces Dapper to absolute beginners.
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