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  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. CoreData vs Entity Framework Core

CoreData vs Entity Framework Core

OverviewComparisonAlternatives

Overview

CoreData
CoreData
Stacks64
Followers47
Votes0
Entity Framework Core
Entity Framework Core
Stacks1.1K
Followers225
Votes16
GitHub Stars9.0K
Forks2.3K

CoreData vs Entity Framework Core: What are the differences?

  1. Data Storage: CoreData is a framework provided by Apple for managing an object graph and persisting data on Apple devices, while Entity Framework Core is an ORM (Object-Relational Mapping) framework provided by Microsoft for working with databases in .NET applications.
  2. Platform Compatibility: CoreData is specifically designed for Apple platforms like iOS, macOS, watchOS, and tvOS, while Entity Framework Core is cross-platform and can be used with .NET applications running on Windows, macOS, and Linux.
  3. Language Support: CoreData works seamlessly with Swift and Objective-C programming languages used in Apple development, whereas Entity Framework Core is optimized for working with C# in the .NET ecosystem.
  4. Query Language: CoreData uses Apple's proprietary language called NSPredicate for querying data, whereas Entity Framework Core utilizes LINQ (Language Integrated Query) for performing queries on databases.
  5. Migration and Schema Changes: CoreData provides automatic lightweight migration for data model changes, making it easier to update the database schema without data loss, whereas Entity Framework Core offers migration tools that generate migration scripts for database schema changes, giving developers more control over the process.
  6. Performance: CoreData is optimized for Apple's platforms and has performance advantages in certain scenarios like handling large object graphs efficiently on devices with limited resources, while Entity Framework Core is designed to work efficiently with various databases and may offer better performance in complex database operations on different platforms.

In Summary, CoreData and Entity Framework Core have key differences in terms of platform compatibility, language support, query language, migration handling, and performance optimizations.

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Detailed Comparison

CoreData
CoreData
Entity Framework Core
Entity Framework Core

It is an object graph and persistence framework provided by Apple in the macOS and iOS operating systems. It allows data organized by the relational entity–attribute model to be serialized into XML, binary, or SQLite stores. It provides generalized and automated solutions to common tasks associated with object life cycle and object graph management, including persistence.

It is a lightweight, extensible, open source and cross-platform version of the popular Entity Framework data access technology. It can serve as an object-relational mapper (O/RM), enabling .NET developers to work with a database using .NET objects, and eliminating the need for most of the data-access code they usually need to write.

-
Lightweight ;Extensible , Cross Platform; ORM; .NET Core; .NET Framework
Statistics
GitHub Stars
-
GitHub Stars
9.0K
GitHub Forks
-
GitHub Forks
2.3K
Stacks
64
Stacks
1.1K
Followers
47
Followers
225
Votes
0
Votes
16
Pros & Cons
No community feedback yet
Pros
  • 7
    Fits very well with Microsoft technologies
  • 4
    Fast
  • 2
    Linq
  • 1
    OpenSource
  • 1
    Easy to use
Cons
  • 1
    Dbcontext
Integrations
SQLite
SQLite
macOS
macOS
Firebird
Firebird
PostgreSQL
PostgreSQL
Oracle
Oracle
Azure Cosmos DB
Azure Cosmos DB
MariaDB
MariaDB
Microsoft Access
Microsoft Access
SQLite
SQLite
MySQL
MySQL
.NET
.NET
.NET Core
.NET Core

What are some alternatives to CoreData, Entity Framework Core?

Sequelize

Sequelize

Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.

Prisma

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

Hibernate

Hibernate

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

Doctrine 2

Doctrine 2

Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

MikroORM

MikroORM

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases.

Entity Framework

Entity Framework

It is an object-relational mapper that enables .NET developers to work with relational data using domain-specific objects. It eliminates the need for most of the data-access code that developers usually need to write.

peewee

peewee

A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.

MyBatis

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

SQLAlchemy

SQLAlchemy

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

Dapper

Dapper

It is an object-relational mapping product for the Microsoft.NET platform: it provides a framework for mapping an object-oriented domain model to a traditional relational database.

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