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  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. Doctrine 2 vs Sequelize

Doctrine 2 vs Sequelize

OverviewComparisonAlternatives

Overview

Doctrine 2
Doctrine 2
Stacks284
Followers207
Votes31
Sequelize
Sequelize
Stacks1.0K
Followers1.4K
Votes143
GitHub Stars30.2K
Forks4.3K

Doctrine 2 vs Sequelize: What are the differences?

Introduction

In the world of web development, there are various Object Relational Mapping (ORM) frameworks available to interact with databases. Two popular options are Doctrine 2 and Sequelize. These frameworks allow developers to work with databases using models and objects instead of writing complex SQL queries. While both Doctrine 2 and Sequelize provide similar functionalities, they have key differences that set them apart from each other.

1. Database Support:

Doctrine 2 is primarily designed for PHP applications and supports a wide range of databases such as MySQL, PostgreSQL, Oracle, and SQLite. It also supports NoSQL databases like MongoDB. On the other hand, Sequelize is a Node.js ORM and exclusively supports SQL databases like MySQL, PostgreSQL, SQLite, and Microsoft SQL Server.

2. Language Compatibility:

Doctrine 2 is built specifically for PHP applications and follows PHP coding standards and practices. It leverages PHP's programming idioms and features, making it an excellent choice for PHP developers. In contrast, Sequelize is designed for Node.js applications, which use JavaScript as the primary programming language. Sequelize supports modern JavaScript features and provides a natural integration with Node.js web frameworks.

3. Querying Approach:

Doctrine 2 utilizes an object-oriented querying approach often referred to as the Query Builder pattern. It provides a fluent interface to construct complex SQL queries using objects and functions. This approach allows for more flexibility and fine-grained control over the generated SQL. Sequelize, on the other hand, uses a promise-based approach with chained method calls for query construction. It provides a more concise and intuitive syntax for querying databases that appeals to JavaScript developers.

4. Association Handling:

In Doctrine 2, associations between entities are defined using annotations or YAML/XML configuration files. These associations can be simple one-to-one, one-to-many, or more complex many-to-many relationships. Doctrine 2 also supports lazy loading of associated entities. Sequelize, on the other hand, uses a separate method for defining associations between models. It provides convenient methods for defining one-to-one, one-to-many, and many-to-many associations. Sequelize also supports eager loading of associated models by default, reducing the number of database queries.

5. Migrations and Schema Management:

Doctrine 2 includes a powerful migrations library called Doctrine Migrations. It allows developers to version and manage database schemas using code. This library provides commands to create and apply migrations, which makes it easy to modify database structures without losing data. Sequelize, on the other hand, includes built-in support for migrations and schema management. It provides a command-line interface (CLI) for creating and running migrations, making it straightforward to keep the database schema in sync with the application models.

6. Performance and Scalability:

Performance and scalability are crucial factors when choosing an ORM framework. Doctrine 2 is known for its optimized query performance due to features like query caching, result caching, and hydration strategies. It also supports sharding and master-slave configurations for scalable deployments. Sequelize, being a JavaScript-based ORM, has excellent performance for JavaScript-based applications. It is designed to work with the event-driven, non-blocking nature of Node.js, making it highly scalable for web applications with many concurrent users.

In Summary, Doctrine 2 and Sequelize have key differences in terms of database support, language compatibility, querying approach, association handling, migrations and schema management, as well as performance and scalability. These differences cater to the specific needs and preferences of PHP and JavaScript developers, offering flexibility, ease of use, and optimized performance for their respective language ecosystems.

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Detailed Comparison

Doctrine 2
Doctrine 2
Sequelize
Sequelize

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.

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.

Statistics
GitHub Stars
-
GitHub Stars
30.2K
GitHub Forks
-
GitHub Forks
4.3K
Stacks
284
Stacks
1.0K
Followers
207
Followers
1.4K
Votes
31
Votes
143
Pros & Cons
Pros
  • 14
    Great abstraction, easy to use, good docs
  • 10
    Object-Oriented
  • 7
    Easy setup
Pros
  • 42
    Good ORM for node.js
  • 31
    Easy setup
  • 21
    Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite
  • 14
    Open source
  • 13
    Free
Cons
  • 30
    Docs are awful
  • 10
    Relations can be confusing
Integrations
PHP
PHP
SQLite
SQLite
Microsoft SQL Server
Microsoft SQL Server
Node.js
Node.js
PostgreSQL
PostgreSQL
MySQL
MySQL
MariaDB
MariaDB
io.js
io.js

What are some alternatives to Doctrine 2, Sequelize?

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.

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.

Entity Framework Core

Entity Framework Core

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.

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.

NHibernate

NHibernate

It is a mature, open source object-relational mapper for the .NET framework. It's actively developed, fully featured and used in thousands of successful projects.

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