knex vs typeorm vs sequelize vs @adonisjs/lucid
Node.js ORM Libraries Comparison
1 Year
knextypeormsequelize@adonisjs/lucidSimilar Packages:
What's Node.js ORM Libraries?

Node.js ORM (Object-Relational Mapping) libraries facilitate database interactions by providing a higher-level abstraction over SQL queries, allowing developers to work with database records as JavaScript objects. These libraries streamline the process of database management, enabling developers to perform CRUD operations without writing raw SQL. They often include features such as migrations, schema management, and relationship handling, making it easier to build and maintain data-driven applications. The choice of ORM can significantly impact development speed, code maintainability, and the overall architecture of the application.

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knex2,163,61519,641874 kB1,183a year agoMIT
typeorm2,100,36434,95420.9 MB2,542a day agoMIT
sequelize1,986,43629,8142.91 MB9553 hours agoMIT
@adonisjs/lucid38,3421,107883 kB312 months agoMIT
Feature Comparison: knex vs typeorm vs sequelize vs @adonisjs/lucid

Database Support

  • knex:

    Knex supports a wide range of SQL databases, including PostgreSQL, MySQL, SQLite, and Oracle. Its flexibility allows developers to switch between different database systems with minimal changes to the codebase.

  • typeorm:

    TypeORM supports various SQL databases such as PostgreSQL, MySQL, MariaDB, SQLite, and Microsoft SQL Server, as well as NoSQL databases like MongoDB. This broad support allows developers to choose the best database for their application's needs.

  • sequelize:

    Sequelize supports multiple SQL dialects, including PostgreSQL, MySQL, MariaDB, SQLite, and Microsoft SQL Server. This versatility makes it a good choice for applications that may need to adapt to different database systems over time.

  • @adonisjs/lucid:

    Lucid primarily supports PostgreSQL, MySQL, and SQLite, making it suitable for most web applications that require relational databases. It integrates seamlessly with AdonisJS, providing a cohesive development experience.

Learning Curve

  • knex:

    Knex has a relatively low learning curve, as it allows developers to write SQL queries in a fluent style. However, it may require a deeper understanding of SQL for more complex queries.

  • typeorm:

    TypeORM has a moderate to steep learning curve, particularly for those new to TypeScript or Object-Relational Mapping. Its dual support for Active Record and Data Mapper patterns can be confusing for beginners.

  • sequelize:

    Sequelize has a steeper learning curve due to its extensive feature set and conventions. Developers must familiarize themselves with its model definition, associations, and lifecycle hooks to use it effectively.

  • @adonisjs/lucid:

    Lucid has a moderate learning curve, especially for those familiar with AdonisJS. Its API is designed to be intuitive for developers who are accustomed to working within the Adonis ecosystem.

Features and Extensibility

  • knex:

    Knex is primarily a query builder and does not provide ORM features like migrations or model definitions out of the box. However, it is highly extensible, allowing developers to integrate it with other libraries or frameworks as needed.

  • typeorm:

    TypeORM offers a rich feature set, including migrations, caching, and support for complex relationships. Its extensibility allows developers to define custom repositories and decorators, making it highly adaptable to various application needs.

  • sequelize:

    Sequelize provides a comprehensive set of features, including migrations, associations, hooks, and validations. Its extensibility allows developers to create custom methods and plugins to enhance functionality.

  • @adonisjs/lucid:

    Lucid offers built-in features such as migrations, seeding, and a powerful query builder. It is designed to be extensible within the AdonisJS framework, allowing developers to create custom models and relationships easily.

Performance

  • knex:

    Knex is lightweight and performs well for simple queries, but performance may degrade with complex joins or large datasets due to its reliance on raw SQL. Developers have full control over query optimization.

  • typeorm:

    TypeORM is designed for performance, especially with its support for lazy loading and caching. However, its performance can be affected by the complexity of the entity relationships and the use of decorators.

  • sequelize:

    Sequelize can introduce overhead due to its extensive features and abstractions. However, it provides options for optimizing performance, such as eager loading and transaction management to minimize database calls.

  • @adonisjs/lucid:

    Lucid is optimized for performance within the AdonisJS framework, utilizing lazy loading and efficient query generation. However, performance can vary based on the complexity of the queries and relationships defined.

Community and Support

  • knex:

    Knex has a large community and is widely used, resulting in extensive documentation and numerous tutorials available online. It is well-supported and regularly updated.

  • typeorm:

    TypeORM has a growing community, particularly among TypeScript developers. Its documentation is thorough, and there are many resources available, though it may not be as extensive as Sequelize.

  • sequelize:

    Sequelize has a robust community and extensive documentation, making it easier for developers to find support and resources. Its popularity ensures a wealth of third-party plugins and integrations.

  • @adonisjs/lucid:

    Lucid benefits from the AdonisJS community, which is growing but smaller compared to other ORMs. Documentation is comprehensive, but community resources may be limited.

How to Choose: knex vs typeorm vs sequelize vs @adonisjs/lucid
  • knex:

    Choose Knex if you prefer a lightweight SQL query builder that allows you to write raw SQL while providing a fluent interface for building queries. It is ideal for projects that require flexibility and control over SQL without the overhead of a full ORM.

  • typeorm:

    Choose TypeORM if you are working with TypeScript and want a robust ORM that supports both Active Record and Data Mapper patterns. It is ideal for applications that benefit from TypeScript's strong typing and require advanced features like lazy loading and caching.

  • sequelize:

    Choose Sequelize if you need a full-featured ORM that supports multiple SQL dialects and provides extensive features like associations, migrations, and hooks. It is suitable for applications that require complex data relationships and need to manage multiple database types.

  • @adonisjs/lucid:

    Choose Lucid if you are building an application with the AdonisJS framework and want a seamless integration with its ecosystem. It offers a rich set of features tailored for AdonisJS, including a powerful query builder and support for relationships.

README for knex

knex.js

npm version npm downloads Coverage Status Dependencies Status Gitter chat

A SQL query builder that is flexible, portable, and fun to use!

A batteries-included, multi-dialect (PostgreSQL, MySQL, CockroachDB, MSSQL, SQLite3, Oracle (including Oracle Wallet Authentication)) query builder for Node.js, featuring:

Node.js versions 12+ are supported.

You can report bugs and discuss features on the GitHub issues page or send tweets to @kibertoad.

For support and questions, join our Gitter channel.

For knex-based Object Relational Mapper, see:

  • https://github.com/Vincit/objection.js
  • https://github.com/mikro-orm/mikro-orm
  • https://bookshelfjs.org

To see the SQL that Knex will generate for a given query, you can use Knex Query Lab

Examples

We have several examples on the website. Here is the first one to get you started:

const knex = require('knex')({
  client: 'sqlite3',
  connection: {
    filename: './data.db',
  },
});

try {
  // Create a table
  await knex.schema
    .createTable('users', (table) => {
      table.increments('id');
      table.string('user_name');
    })
    // ...and another
    .createTable('accounts', (table) => {
      table.increments('id');
      table.string('account_name');
      table.integer('user_id').unsigned().references('users.id');
    });

  // Then query the table...
  const insertedRows = await knex('users').insert({ user_name: 'Tim' });

  // ...and using the insert id, insert into the other table.
  await knex('accounts').insert({
    account_name: 'knex',
    user_id: insertedRows[0],
  });

  // Query both of the rows.
  const selectedRows = await knex('users')
    .join('accounts', 'users.id', 'accounts.user_id')
    .select('users.user_name as user', 'accounts.account_name as account');

  // map over the results
  const enrichedRows = selectedRows.map((row) => ({ ...row, active: true }));

  // Finally, add a catch statement
} catch (e) {
  console.error(e);
}

TypeScript example

import { Knex, knex } from 'knex';

interface User {
  id: number;
  age: number;
  name: string;
  active: boolean;
  departmentId: number;
}

const config: Knex.Config = {
  client: 'sqlite3',
  connection: {
    filename: './data.db',
  },
};

const knexInstance = knex(config);

try {
  const users = await knex<User>('users').select('id', 'age');
} catch (err) {
  // error handling
}

Usage as ESM module

If you are launching your Node application with --experimental-modules, knex.mjs should be picked up automatically and named ESM import should work out-of-the-box. Otherwise, if you want to use named imports, you'll have to import knex like this:

import { knex } from 'knex/knex.mjs';

You can also just do the default import:

import knex from 'knex';

If you are not using TypeScript and would like the IntelliSense of your IDE to work correctly, it is recommended to set the type explicitly:

/**
 * @type {Knex}
 */
const database = knex({
  client: 'mysql',
  connection: {
    host: '127.0.0.1',
    user: 'your_database_user',
    password: 'your_database_password',
    database: 'myapp_test',
  },
});
database.migrate.latest();