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Feature-rich ORM for modern Node.js and TypeScript, it supports PostgreSQL (with JSON and JSONB support), MySQL, MariaDB, SQLite, MS SQL Server, Snowflake, Oracle DB (v6), DB2 and DB2 for IBM i.

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ORM for TypeScript and JavaScript. Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, SAP Hana, WebSQL databases. Works in NodeJS, Browser, Ionic, Cordova and Electron platforms.

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Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB

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A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.

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MongoDB object modeling designed to work in an asynchronous environment.

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

Quick Overview

Sequelize is a popular Object-Relational Mapping (ORM) library for Node.js. It supports multiple SQL databases, including PostgreSQL, MySQL, SQLite, and Microsoft SQL Server. Sequelize provides an easy-to-use API for database operations, model definitions, and migrations.

Pros

  • Supports multiple databases with a unified API
  • Provides powerful querying capabilities, including complex joins and transactions
  • Offers built-in data validation and type checking
  • Includes support for database migrations and seeders

Cons

  • Can be complex for beginners due to its extensive feature set
  • Performance overhead compared to raw SQL queries
  • Some advanced database features may not be fully supported
  • Learning curve for understanding all available options and configurations

Code Examples

  1. Defining a model:
const { Sequelize, DataTypes } = require('sequelize');
const sequelize = new Sequelize('sqlite::memory:');

const User = sequelize.define('User', {
  username: DataTypes.STRING,
  birthday: DataTypes.DATE
});
  1. Creating a record:
const jane = await User.create({ username: 'janedoe', birthday: new Date(1980, 6, 20) });
console.log(jane.toJSON());
  1. Querying records:
const users = await User.findAll({
  where: {
    username: {
      [Op.like]: 'jane%'
    }
  }
});
console.log(users.map(user => user.toJSON()));
  1. Performing a transaction:
const t = await sequelize.transaction();

try {
  const user = await User.create({ username: 'John' }, { transaction: t });
  await user.update({ username: 'John Doe' }, { transaction: t });
  await t.commit();
} catch (error) {
  await t.rollback();
}

Getting Started

  1. Install Sequelize and a database driver:

    npm install sequelize
    npm install sqlite3 # or another database driver
    
  2. Create a connection:

    const { Sequelize } = require('sequelize');
    const sequelize = new Sequelize('sqlite::memory:');
    
  3. Define a model:

    const User = sequelize.define('User', {
      username: Sequelize.STRING,
      email: Sequelize.STRING
    });
    
  4. Sync the model with the database:

    await sequelize.sync();
    
  5. Perform database operations:

    const user = await User.create({ username: 'janedoe', email: 'jane@example.com' });
    console.log(user.toJSON());
    

Competitor Comparisons

34,758

ORM for TypeScript and JavaScript. Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, SAP Hana, WebSQL databases. Works in NodeJS, Browser, Ionic, Cordova and Electron platforms.

Pros of TypeORM

  • Better TypeScript support with decorators and strong typing
  • More flexible entity relationships and inheritance
  • Supports both Active Record and Data Mapper patterns

Cons of TypeORM

  • Steeper learning curve, especially for complex queries
  • Less mature ecosystem compared to Sequelize
  • Documentation can be inconsistent or outdated in some areas

Code Comparison

TypeORM:

@Entity()
class User {
  @PrimaryGeneratedColumn()
  id: number;

  @Column()
  name: string;
}

Sequelize:

const User = sequelize.define('User', {
  id: {
    type: DataTypes.INTEGER,
    primaryKey: true,
    autoIncrement: true
  },
  name: DataTypes.STRING
});

TypeORM offers a more declarative approach using decorators, which can be more intuitive for TypeScript developers. Sequelize uses a more traditional JavaScript object-based definition.

Both ORMs are powerful tools for database interaction in Node.js applications. TypeORM excels in TypeScript environments and offers more flexibility in entity relationships. Sequelize has a larger community and more extensive documentation, making it easier for beginners to get started. The choice between them often depends on the specific project requirements and the development team's preferences.

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Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB

Pros of Prisma

  • Type-safe database access with auto-generated TypeScript types
  • Intuitive and declarative schema definition language
  • Powerful query engine with automatic query optimization

Cons of Prisma

  • Steeper learning curve for developers familiar with traditional ORMs
  • Less flexibility in complex database operations compared to raw SQL
  • Requires additional setup and migration process

Code Comparison

Prisma schema definition:

model User {
  id    Int     @id @default(autoincrement())
  email String  @unique
  name  String?
  posts Post[]
}

Sequelize model definition:

const User = sequelize.define('User', {
  email: { type: DataTypes.STRING, unique: true },
  name: DataTypes.STRING
});

Key Differences

  • Prisma uses a dedicated schema file, while Sequelize defines models in JavaScript
  • Prisma generates type-safe client code, enhancing developer experience
  • Sequelize offers more flexibility in model definition and querying
  • Prisma provides better performance for complex queries due to its query engine
  • Sequelize has a larger ecosystem and community support

Both ORMs have their strengths, and the choice depends on project requirements, team expertise, and specific use cases. Prisma excels in type safety and modern development workflows, while Sequelize offers more traditional ORM features and flexibility.

19,454

A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.

Pros of Knex

  • Lighter weight and more flexible, allowing for raw SQL queries when needed
  • Supports more databases out of the box, including SQLite and Oracle
  • Simpler learning curve, especially for developers familiar with SQL

Cons of Knex

  • Lacks built-in ORM features, requiring more manual data modeling
  • Less robust validation and relationship management compared to Sequelize
  • Fewer high-level abstractions for complex queries and associations

Code Comparison

Knex query:

knex('users')
  .where('id', 1)
  .update({ name: 'John Doe' })

Sequelize query:

User.update(
  { name: 'John Doe' },
  { where: { id: 1 } }
)

Both Knex and Sequelize are popular JavaScript query builders and ORMs for relational databases. Knex focuses on being a flexible query builder with a closer-to-SQL syntax, while Sequelize provides a full-featured ORM with more abstractions and built-in features for data modeling and relationships.

Knex is often preferred for its simplicity and lightweight nature, making it easier to learn and use for developers who are comfortable with SQL. It also offers more flexibility in terms of raw SQL usage when needed.

Sequelize, on the other hand, provides a more comprehensive ORM experience with robust data modeling, validation, and relationship management. It offers higher-level abstractions that can simplify complex queries and associations, but may have a steeper learning curve for those new to ORMs.

A simple Node.js ORM for PostgreSQL, MySQL and SQLite3 built on top of Knex.js

Pros of Bookshelf

  • Lightweight and flexible, with a smaller learning curve
  • Built on top of Knex.js, providing powerful query building capabilities
  • Easier to integrate with existing projects due to its simplicity

Cons of Bookshelf

  • Smaller community and fewer resources compared to Sequelize
  • Less feature-rich out of the box, requiring more manual setup
  • Limited support for complex associations and advanced ORM features

Code Comparison

Bookshelf:

const User = bookshelf.Model.extend({
  tableName: 'users',
  posts: function() {
    return this.hasMany(Post);
  }
});

Sequelize:

const User = sequelize.define('User', {
  name: Sequelize.STRING
}, {
  hooks: {
    beforeCreate: (user) => {
      // Custom logic
    }
  }
});

Bookshelf focuses on simplicity and flexibility, making it easier to get started but potentially requiring more manual work for complex scenarios. Sequelize offers a more comprehensive ORM experience with built-in features like hooks, validations, and advanced querying capabilities. The choice between the two depends on project requirements, team expertise, and desired level of abstraction.

27,046

MongoDB object modeling designed to work in an asynchronous environment.

Pros of Mongoose

  • More intuitive and expressive schema definition
  • Better support for MongoDB-specific features and operations
  • Robust middleware system for pre and post hooks

Cons of Mongoose

  • Limited to MongoDB, not suitable for other databases
  • Steeper learning curve for developers new to MongoDB

Code Comparison

Mongoose schema definition:

const userSchema = new Schema({
  name: String,
  email: { type: String, required: true, unique: true },
  age: { type: Number, min: 18 }
});

Sequelize model definition:

const User = sequelize.define('User', {
  name: DataTypes.STRING,
  email: { type: DataTypes.STRING, allowNull: false, unique: true },
  age: { type: DataTypes.INTEGER, validate: { min: 18 } }
});

Key Differences

  • Mongoose is specifically designed for MongoDB, while Sequelize supports multiple SQL databases
  • Sequelize uses a more SQL-like approach to querying, whereas Mongoose provides MongoDB-style querying
  • Mongoose offers more built-in validation and middleware options out of the box
  • Sequelize provides better support for complex SQL operations and joins

Use Cases

  • Choose Mongoose for MongoDB-focused projects with complex document structures
  • Opt for Sequelize when working with SQL databases or requiring database agnosticism

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

Pros of MikroORM

  • Better TypeScript support with first-class decorators and type inference
  • More flexible entity definition with support for plain JavaScript objects
  • Built-in support for MongoDB and other NoSQL databases

Cons of MikroORM

  • Smaller community and ecosystem compared to Sequelize
  • Less mature and potentially less stable, as it's a newer project
  • Steeper learning curve for developers familiar with traditional ORMs

Code Comparison

MikroORM entity definition:

@Entity()
export class User {
  @PrimaryKey()
  id!: number;

  @Property()
  name!: string;
}

Sequelize model definition:

const User = sequelize.define('User', {
  id: { type: DataTypes.INTEGER, primaryKey: true },
  name: { type: DataTypes.STRING }
});

MikroORM and Sequelize are both popular ORM (Object-Relational Mapping) libraries for Node.js, but they have different approaches and features. MikroORM offers better TypeScript integration and supports a wider range of databases, including NoSQL options. However, Sequelize has a larger community, more extensive documentation, and a longer track record of stability. The choice between the two depends on project requirements, team expertise, and preferred coding style.

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README

Sequelize logo

Sequelize

npm version npm downloads contributors Open Collective sponsor Merged PRs semantic-release License: MIT

Sequelize is an easy-to-use and promise-based Node.js ORM tool for Postgres, MySQL, MariaDB, SQLite, DB2, Microsoft SQL Server, Snowflake, Oracle DB and Db2 for IBM i. It features solid transaction support, relations, eager and lazy loading, read replication and more.

Would you like to contribute? Read our contribution guidelines to know more. There are many ways to help! 😃

:computer: Getting Started

Ready to start using Sequelize? Head to sequelize.org to begin!

:money_with_wings: Supporting the project

Do you like Sequelize and would like to give back to the engineering team behind it?

We have recently created an OpenCollective based money pool which is shared amongst all core maintainers based on their contributions. Every support is wholeheartedly welcome. ❤️

:pencil: Major version changelog

Please find upgrade information to major versions here:

:book: Resources

:wrench: Tools

:speech_balloon: Translations

:warning: Responsible disclosure

If you have security issues to report, please refer to our Responsible Disclosure Policy for more details.

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