pg vs mysql2 vs knex vs sequelize vs sqlite3
Node.js Database Libraries Comparison
1 Year
pgmysql2knexsequelizesqlite3Similar Packages:
What's Node.js Database Libraries?

Node.js database libraries are essential tools that facilitate interaction between Node.js applications and various databases. They provide developers with the ability to perform CRUD (Create, Read, Update, Delete) operations, manage connections, and execute queries in a more efficient and structured manner. These libraries abstract the complexities of database interactions, allowing developers to focus on building application logic while ensuring data integrity and performance. Each library has its own strengths, catering to different database systems and use cases, making it crucial to choose the right one based on project requirements.

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pg7,794,59312,52079.5 kB49319 days agoMIT
mysql22,997,0814,156508 kB4952 months agoMIT
knex2,188,27019,639874 kB1,183a year agoMIT
sequelize2,003,26829,8142.91 MB9564 months agoMIT
sqlite31,155,9936,2973.35 MB180a year agoBSD-3-Clause
Feature Comparison: pg vs mysql2 vs knex vs sequelize vs sqlite3

Database Support

  • pg:

    pg is tailored for PostgreSQL, supporting its advanced features and data types, making it the go-to choice for PostgreSQL applications.

  • mysql2:

    mysql2 is specifically designed for MySQL databases, providing optimized performance and features that leverage MySQL's capabilities.

  • knex:

    Knex supports multiple SQL databases including MySQL, PostgreSQL, SQLite, and Oracle, making it versatile for various projects that may switch databases in the future.

  • sequelize:

    Sequelize supports multiple databases including MySQL, PostgreSQL, SQLite, and MSSQL, allowing you to switch between databases with minimal changes to your codebase.

  • sqlite3:

    sqlite3 is specifically for SQLite databases, offering a lightweight solution for applications that need a simple file-based database.

Query Building

  • pg:

    pg allows you to execute raw SQL queries directly, giving you full control over the SQL syntax, but does not provide a built-in query builder.

  • mysql2:

    mysql2 provides a straightforward API for executing raw SQL queries, focusing on performance and simplicity rather than query building capabilities.

  • knex:

    Knex provides a powerful query builder that allows you to construct SQL queries using a fluent API, making it easier to build complex queries programmatically without writing raw SQL.

  • sequelize:

    Sequelize abstracts query building through its ORM capabilities, allowing you to define models and relationships, and automatically generating SQL queries based on your model definitions.

  • sqlite3:

    sqlite3 allows you to execute raw SQL queries, providing a simple interface for interacting with SQLite databases without additional abstraction.

ORM Capabilities

  • pg:

    pg is a database client and does not offer ORM features, allowing developers to work directly with SQL queries.

  • mysql2:

    mysql2 is primarily a database driver and does not include ORM capabilities, focusing on performance and ease of use.

  • knex:

    Knex does not provide ORM capabilities but can be used alongside other libraries to implement ORM-like features if needed.

  • sequelize:

    Sequelize is a full-fledged ORM that provides a robust set of features for defining models, relationships, and validations, making it easier to manage database interactions at a higher level.

  • sqlite3:

    sqlite3 is a database driver and does not provide ORM capabilities, focusing on raw SQL execution.

Performance

  • pg:

    pg is designed for performance with PostgreSQL, supporting features like connection pooling to optimize database interactions.

  • mysql2:

    mysql2 is optimized for performance and is one of the fastest MySQL drivers available, making it suitable for high-performance applications.

  • knex:

    Knex is efficient for building queries but may introduce overhead compared to raw SQL execution, especially for complex queries.

  • sequelize:

    Sequelize may introduce some performance overhead due to its abstraction layer, but it provides optimizations for common use cases.

  • sqlite3:

    sqlite3 is lightweight and fast for small-scale applications, but performance may degrade with larger datasets or complex queries.

Learning Curve

  • pg:

    pg has a low learning curve for developers familiar with SQL, but understanding PostgreSQL's advanced features may require additional learning.

  • mysql2:

    mysql2 is straightforward to use, with a low learning curve for those familiar with MySQL, making it easy to integrate into applications.

  • knex:

    Knex has a moderate learning curve, especially for developers unfamiliar with SQL query building, but its fluent API can simplify the process once learned.

  • sequelize:

    Sequelize has a steeper learning curve due to its ORM concepts and model definitions, but it simplifies database interactions once mastered.

  • sqlite3:

    sqlite3 is easy to learn and use, especially for small applications, making it accessible for beginners.

How to Choose: pg vs mysql2 vs knex vs sequelize vs sqlite3
  • pg:

    Choose pg if you are working with PostgreSQL and need a robust and feature-rich client that supports advanced PostgreSQL features like JSONB and array types. It is ideal for applications that require complex queries and transactions with PostgreSQL.

  • mysql2:

    Choose mysql2 if you are specifically working with MySQL databases and require a fast, lightweight, and modern driver that supports Promises and async/await. It is suitable for applications that need to handle a high volume of database connections efficiently.

  • knex:

    Choose Knex if you need a flexible SQL query builder that supports multiple database engines and you want to write raw SQL queries or use a fluent API for building queries programmatically. It is ideal for projects where you want more control over SQL syntax and database migrations.

  • sequelize:

    Choose Sequelize if you prefer an ORM (Object-Relational Mapping) solution that abstracts database interactions and allows you to work with models instead of raw SQL. It is suitable for applications where you want to simplify data manipulation and enforce relationships between tables.

  • sqlite3:

    Choose sqlite3 if you need a lightweight, serverless database for development or small-scale applications. It is perfect for prototyping, testing, or applications that require a simple file-based database without the overhead of a full database server.

README for pg

node-postgres

Build Status NPM version NPM downloads

Non-blocking PostgreSQL client for Node.js. Pure JavaScript and optional native libpq bindings.

Install

$ npm install pg

:star: Documentation :star:

Features

  • Pure JavaScript client and native libpq bindings share the same API
  • Connection pooling
  • Extensible JS ↔ PostgreSQL data-type coercion
  • Supported PostgreSQL features
    • Parameterized queries
    • Named statements with query plan caching
    • Async notifications with LISTEN/NOTIFY
    • Bulk import & export with COPY TO/COPY FROM

Extras

node-postgres is by design pretty light on abstractions. These are some handy modules we've been using over the years to complete the picture. The entire list can be found on our wiki.

Support

node-postgres is free software. If you encounter a bug with the library please open an issue on the GitHub repo. If you have questions unanswered by the documentation please open an issue pointing out how the documentation was unclear & I will do my best to make it better!

When you open an issue please provide:

  • version of Node
  • version of Postgres
  • smallest possible snippet of code to reproduce the problem

You can also follow me @briancarlson if that's your thing. I try to always announce noteworthy changes & developments with node-postgres on Twitter.

Sponsorship :two_hearts:

node-postgres's continued development has been made possible in part by generous finanical support from the community.

If you or your company are benefiting from node-postgres and would like to help keep the project financially sustainable please consider supporting its development.

Contributing

:heart: contributions!

I will happily accept your pull request if it:

  • has tests
  • looks reasonable
  • does not break backwards compatibility

If your change involves breaking backwards compatibility please please point that out in the pull request & we can discuss & plan when and how to release it and what type of documentation or communicate it will require.

Troubleshooting and FAQ

The causes and solutions to common errors can be found among the Frequently Asked Questions (FAQ)

License

Copyright (c) 2010-2020 Brian Carlson (brian.m.carlson@gmail.com)

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.