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

Node.js ORM (Object-Relational Mapping) libraries provide developers with a way to interact with databases using JavaScript objects instead of SQL queries. They abstract the database interactions, allowing for easier management of data models and relationships. Each library has its own approach to handling database operations, providing varying levels of abstraction, flexibility, and features that cater to different project needs.

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knex2,306,52319,714874 kB1,193a year agoMIT
sequelize1,750,97229,9102.91 MB95811 days agoMIT
bookshelf54,7256,368-2375 years agoMIT
waterline28,8305,4101.3 MB32-MIT
Feature Comparison: knex vs sequelize vs bookshelf vs waterline

Abstraction Level

  • knex:

    Knex offers a low level of abstraction, functioning primarily as a SQL query builder. It allows developers to write SQL queries directly, giving them full control over the database interactions without the overhead of an ORM.

  • sequelize:

    Sequelize provides a high level of abstraction, allowing developers to work with models, associations, and migrations without needing to write raw SQL. This can speed up development but may obscure some database interactions.

  • bookshelf:

    Bookshelf provides a moderate level of abstraction, allowing developers to define models and relationships easily while still giving access to raw SQL queries through Knex. This makes it suitable for those who want simplicity without losing control.

  • waterline:

    Waterline offers a moderate to high level of abstraction, focusing on a simple API for data access while supporting multiple database types. It abstracts the underlying database interactions but can be less flexible than Knex.

Learning Curve

  • knex:

    Knex has a low learning curve for those familiar with SQL, as it allows for writing raw SQL queries. However, it may require additional effort for developers new to SQL or those expecting a more abstracted ORM experience.

  • sequelize:

    Sequelize has a steeper learning curve due to its extensive feature set and conventions. Developers need to understand its model definitions, associations, and migration strategies, which can be overwhelming for newcomers.

  • bookshelf:

    Bookshelf has a gentle learning curve, especially for those already familiar with Knex. Its straightforward API and documentation make it accessible for beginners while still offering advanced features for experienced developers.

  • waterline:

    Waterline has a moderate learning curve, particularly for those familiar with Sails.js. Its API is designed to be simple, but understanding its abstraction over different databases may take some time.

Performance

  • knex:

    Knex is highly performant as it allows for raw SQL queries, enabling developers to optimize their queries for specific use cases. However, performance depends on the quality of the SQL written by the developer.

  • sequelize:

    Sequelize can introduce some overhead due to its abstraction layer, which may impact performance in highly complex queries. However, it provides features like query optimization and caching to help mitigate this.

  • bookshelf:

    Bookshelf's performance is generally good for most applications, but it can be affected by the complexity of relationships and the number of queries made. Developers can optimize performance by carefully structuring their models and queries.

  • waterline:

    Waterline's performance can vary based on the underlying database and the complexity of the data interactions. While it simplifies data access, it may not be as performant as raw SQL queries in Knex.

Extensibility

  • knex:

    Knex is highly extensible, allowing developers to create custom query builders and plugins. Its flexibility makes it suitable for a wide range of applications and database interactions.

  • sequelize:

    Sequelize supports extensibility through hooks and custom methods, enabling developers to add functionality to models and queries. This allows for a tailored experience based on specific application requirements.

  • bookshelf:

    Bookshelf is extensible through its plugin system, allowing developers to add custom functionality or modify existing features. This makes it adaptable for various project needs.

  • waterline:

    Waterline is designed to be extensible, particularly within the Sails.js framework. Developers can create custom adapters to support additional databases or modify existing behavior.

Community and Support

  • knex:

    Knex has a large and active community, providing extensive documentation and numerous resources for troubleshooting and learning. This makes it easier to find help and examples.

  • sequelize:

    Sequelize boasts a large community and extensive documentation, making it one of the most popular ORMs in the Node.js ecosystem. This results in a wealth of resources, tutorials, and community support.

  • bookshelf:

    Bookshelf has a smaller community compared to Sequelize, but it is well-documented and has a dedicated user base. Support can be found through GitHub and community forums.

  • waterline:

    Waterline has a smaller community, primarily focused around the Sails.js framework. While documentation is available, it may not be as extensive as that of the other libraries.

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

    Choose Knex if you need a flexible SQL query builder that allows for raw SQL queries and supports multiple database types. It is ideal for developers who want more control over their queries and prefer to write SQL directly while still benefiting from a fluent API.

  • sequelize:

    Choose Sequelize if you require a full-featured ORM with extensive support for associations, transactions, and migrations. It is suitable for complex applications where you need a robust solution with a rich set of features and built-in support for various database dialects.

  • bookshelf:

    Choose Bookshelf if you prefer a simple, lightweight ORM that is built on top of Knex.js, providing a straightforward way to work with relational data and supports features like relations, virtuals, and pagination.

  • waterline:

    Choose Waterline if you are working with the Sails.js framework or need a data access layer that supports multiple database types with a simple API. It is designed for easy integration with Sails and provides a more abstracted approach to data management.

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();