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DataHaven.NET

DataHaven.NET

DataHaven.NET is an open-source object-relational mapping (ORM) framework for .NET that provides a bridge between relational databases and object-oriented programming. It allows developers to work with databases through .NET objects rather than writing SQL queries.
Development Object Relational Mapping
orm net database-access
Features Reviews Alternatives

DataHaven.NET: Object-Relational Mapping Framework for .NET

DataHaven.NET is an open-source object-relational mapping (ORM) framework for .NET that provides a bridge between relational databases and object-oriented programming. It allows developers to work with databases through .NET objects rather than writing SQL queries.

What is DataHaven.NET?

DataHaven.NET is an open-source object-relational mapping (ORM) framework for .NET applications. It provides a convenient way for .NET developers to work with databases using regular .NET objects.

Some key features of DataHaven.NET include:

  • Mapping between .NET classes and database tables
  • Support for stored procedures and views
  • Change tracking
  • Eager, lazy and explicit loading
  • Caching
  • Inheritance mapping
  • Bulk insert operations
  • Convention-based configuration

DataHaven.NET works by bridging the gap between the object-oriented world of .NET and the relational world of databases. Developers can focus on their business logic rather than writing tedious data access code. The ORM handles tasks like data set filling, change tracking, caching and more.

It supports the major relational databases like SQL Server, MySQL and PostgreSQL. DataHaven.NET runs on .NET Framework as well as .NET Core, making it suitable for both desktop and web applications.

In summary, DataHaven.NET significantly reduces the development effort for data-driven applications by eliminating most boilerplate data access code.

DataHaven.NET Features

Features

  1. Object-relational mapping for .NET
  2. Supports multiple databases like SQL Server, MySQL, PostgreSQL, Oracle, etc
  3. Entity mapping for translating between objects and database tables
  4. Query generation for retrieving, inserting, updating and deleting data
  5. Change tracking for detecting changes made to entity objects
  6. Caching and batching for optimizing data access
  7. Inheritance mapping for mapping class hierarchies to databases
  8. Convention-based configuration for rapid development

Pricing

  • Open Source

Pros

Increased productivity and faster development

Database-agnostic code

Reduced boilerplate data access code

Easy to learn and use

Open source with community support

Cons

Steep learning curve compared to direct database access

Performance overhead compared to optimized SQL

Limited documentation and samples

Less control than hand-coded SQL

Limited features compared to commercial ORMs

Official Links

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