knex vs sequelize vs kysely vs bookshelf
Node.js ORM Libraries Comparison
1 Year
knexsequelizekyselybookshelfSimilar Packages:
What's Node.js ORM Libraries?

Node.js ORM (Object-Relational Mapping) libraries provide a way to interact with relational databases using JavaScript objects instead of SQL queries. They abstract the database interactions, allowing developers to work with data in a more intuitive way. Each of these libraries has its own strengths, catering to different use cases and preferences in terms of flexibility, ease of use, and feature sets. Understanding their unique features can help developers choose the right tool for their specific application needs.

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knex2,119,74319,628874 kB1,179a year agoMIT
sequelize2,064,01129,8002.91 MB9604 months agoMIT
kysely566,06911,4242.94 MB1253 months agoMIT
bookshelf61,2786,361-2375 years agoMIT
Feature Comparison: knex vs sequelize vs kysely vs bookshelf

Ease of Use

  • knex:

    Knex provides a flexible query builder that can be used with raw SQL queries. While it may require more boilerplate code compared to other ORMs, its fluent interface allows for complex queries to be constructed easily.

  • sequelize:

    Sequelize has a comprehensive API that can be overwhelming for beginners but offers extensive documentation and community support. Its feature-rich nature allows for complex relationships and advanced querying capabilities.

  • kysely:

    Kysely emphasizes type safety and provides a clean and simple API for building queries. Its integration with TypeScript ensures that developers can catch errors early in the development process, enhancing productivity.

  • bookshelf:

    Bookshelf offers a simple and intuitive API that makes it easy for developers to define models and relationships. Its focus on convention over configuration allows for rapid development without a steep learning curve.

Type Safety

  • knex:

    Knex also lacks built-in type safety, but it can be used with TypeScript by defining types for queries and models. This requires additional effort but allows for better type checking in larger applications.

  • sequelize:

    Sequelize supports TypeScript, but its type definitions may not be as comprehensive as those in Kysely. Developers can use Sequelize with TypeScript, but they may encounter some limitations in type safety.

  • kysely:

    Kysely is designed with TypeScript in mind, offering strong type safety for queries and models. This feature helps prevent runtime errors and improves developer experience by providing autocompletion and type inference.

  • bookshelf:

    Bookshelf does not provide built-in type safety, as it is primarily a JavaScript library. Developers may need to implement their own type definitions or use TypeScript with additional type declarations.

Database Support

  • knex:

    Knex supports a wide range of SQL databases, including PostgreSQL, MySQL, SQLite, and Oracle. This versatility makes it a popular choice for projects that may need to work with different database systems.

  • sequelize:

    Sequelize supports multiple SQL dialects, including PostgreSQL, MySQL, MariaDB, SQLite, and Microsoft SQL Server. Its extensive compatibility makes it suitable for diverse applications that require a robust ORM.

  • kysely:

    Kysely is designed to work with various SQL databases, leveraging Knex under the hood. Its type-safe approach ensures that queries are compatible with the underlying database, making it a reliable choice for TypeScript developers.

  • bookshelf:

    Bookshelf is built on top of Knex and supports various SQL databases, including PostgreSQL, MySQL, and SQLite. Its flexibility allows developers to switch databases with minimal changes to the codebase.

Community and Ecosystem

  • knex:

    Knex has a strong community and is widely used in the Node.js ecosystem. Its popularity means that developers can find plenty of resources, tutorials, and plugins to extend its functionality.

  • sequelize:

    Sequelize has a large and active community, providing extensive documentation, plugins, and support. Its popularity makes it a safe choice for developers looking for a well-established ORM.

  • kysely:

    Kysely is a newer library and has a smaller community compared to the others. However, its focus on type safety and modern JavaScript features is gaining attention among TypeScript developers.

  • bookshelf:

    Bookshelf has a smaller community compared to Sequelize but benefits from being built on top of Knex, which has a larger user base. This means that while Bookshelf may have fewer resources, it can leverage Knex's ecosystem.

Performance

  • knex:

    Knex is known for its performance, as it allows developers to write optimized SQL queries directly. This can lead to better performance in applications that require fine-tuned database interactions.

  • sequelize:

    Sequelize's performance can vary depending on the complexity of the models and relationships defined. While it provides many features, developers need to be mindful of potential performance bottlenecks in large applications.

  • kysely:

    Kysely's performance is competitive, particularly due to its type-safe query building. The type safety may introduce some overhead, but it often results in fewer runtime errors and better maintainability.

  • bookshelf:

    Bookshelf's performance is generally good for most applications, but it may not be as optimized as Knex for complex queries. Its abstraction layer can introduce some overhead, especially in large applications.

How to Choose: knex vs sequelize vs kysely vs bookshelf
  • knex:

    Choose Knex if you need a powerful SQL query builder that allows for fine-grained control over your database queries. It is suitable for developers who want to write raw SQL queries while still benefiting from a fluent interface and chaining capabilities.

  • sequelize:

    Choose Sequelize if you need a full-featured ORM that supports multiple SQL dialects and provides a rich set of features, including migrations, associations, and hooks. It is well-suited for larger applications that require a robust ORM with extensive capabilities.

  • kysely:

    Choose Kysely if you are looking for a type-safe SQL query builder that integrates well with TypeScript. It is designed for developers who prioritize type safety and want to leverage TypeScript's features to catch errors at compile time.

  • bookshelf:

    Choose Bookshelf if you prefer a simple and elegant ORM that builds on top of Knex.js, providing a straightforward way to work with models and relationships. It is ideal for projects that require a lightweight solution with a focus on simplicity and ease of use.

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();