ADO.NET Entity Framework Data Providers
The latest ADO.NET evolution focuses on raising the level of abstraction from the logical (relational) level to the conceptual (entity) level. For this purpose Microsoft introduces the Entity Framework, designed to simplify data - object conversion and embed data access queries into program code.
ADO.NET data providers from Devart support Entity Framework for all popular databases Oracle, MySQL, PostgreSQL, SQLite, DB2, and for popular cloud applications. Devart dotConnect product line supports all the Entity Framework versions - Entity Framework v1, v4, v5, and v6 and Entity Framework Core 1.1, 2.2, and 3.1. See our blog article on Entity Framework Core support.
Benefits
Entity Framework features:
Support for LINQ to Entities and Entity SQL
dotConnect data providers offer the most complete support for LINQ to Entities and Entity SQL.
Entity Framework Canonical Functions support
dotConnect data providers support most of the Entity Framework Canonical Functions for Oracle, MySQL, PostgreSQL, SQLite, and DB2.
Dynamic Database Creation and Deletion Support
dotConnect data providers support Dynamic database creation and database deletion for Entity Framework v1, v4.x, v5, and v6. They also support Code-First Migrations for Entity Framework 4.3 and higher.
Entity Framework Spatials Support
dotConnect data providers for Oracle, MySQL, and PostgreSQL support Entity Framework Spatials functionality for Entity Framework v5 and v6.
Database-specific features:
Wide Support for Database Types
dotConnect product line offers wide support for database types including Oracle CURSORs and SDO_GEOMETRY, MySQL geometry, PostgreSQL PostGIS geometry and geography data types.
Wide Support for Database-specific Functions
Database-specific system functions of Oracle, MySQL, PostgreSQL, SQLite, and DB2 can be used in LINQ to Entities and Entity SQL.
Full-Text Search Suport
dotConnect for Oracle , MySQL , PostgreSQL , and SQLite support database full-text search functionality in LINQ to Entities and Entity SQL queries.
Performance:
Batch Updates
Our providers support configurable batch updates , grouping several INSERT/UPDATE/DELETE statements into one SQL block, which increases SaveChanges() performance substantially, because of reducing number of server calls and producing more compact SQL code.
Light and Optimized SQL
A number of SQL optimizations allows generating high-performant SQL. Additionally, you may optionally disable SQL formatting to reduce SQL statement size. dotConnect for Oracle supports Oracle Optimizer Hints for further performance improvements.
Development Approaches

Database-First
You may generate an Entity Framework model, based on an existing database, and then update the model if the database was changed. This can be done with Entity Data Model Wizard and Update Model Wizard (or with Attach Data Source wizard for LightSwitch applications) in Visual Studio and with our own ORM model designer - Entity Developer, which is supplied with the providers.

Model-First
You may create a model in Visual Studio 2010, 2012, 2013, 2015, 2017, or 2019 Entity Model Designer and then generate database DDL script with Create Database Wizard. The same can be done with Entity Developer in Visual Studio 2008, 2010, 2012, 2013, 2015, 2017, and 2019. Entity Developer also allows updating database according to the model changes.

Code-First
You may create a set of POCO classes, set up mapping with attributes or fluent mapping, and specify the database creating/deleting and filling with initial data. Our providers support this approach completely and allow additional tweaking. Reverse engineer Code-First is also supported via Entity Developer's DbContext template , generating POCO classes and Code-First mapping for an existing database.
Extensions of EDM
* Some of the advanced features are available only in Entity Developer
** EDM designer supports this functionality since Visual Studio 2012.
Visit our Entity Developer vs Entity Data Model Designer page to get more information on Entity Developer benefits.