Knex.js vs MySQL

Overview

MySQL

Stacks129.6K

Followers108.6K

Votes3.8K

GitHub Stars11.8K

Forks4.1K

Knex.js

Stacks181

Followers406

Votes49

Knex.js vs MySQL: What are the differences?

Introduction

In web development, two commonly used tools are Knex.js and MySQL. Knex.js is a query builder for JavaScript that provides a flexible and intuitive way to interact with databases, while MySQL is an open-source relational database management system (RDBMS). Although they both offer database-related functionalities, there are some key differences between the two.

Syntax and Query Building:

Knex.js provides a more simplified and expressive syntax for building database queries compared to MySQL. With Knex.js, developers can use chained methods and JavaScript functions to construct queries, making it easier to write and read complex queries. On the other hand, MySQL uses SQL (Structured Query Language) syntax, which is more rigid and may require writing longer and more verbose queries.
Database Support:

MySQL is specifically designed as an RDBMS and supports multiple databases, including MySQL cluster, MySQL innodb, and more. On the other hand, Knex.js is a query builder and supports various database systems like MySQL, PostgreSQL, SQLite, and Oracle. This makes Knex.js more versatile in terms of working with different database engines.
ORM Functionality:

Knex.js provides Object-Relational Mapping (ORM) functionality, allowing developers to work with objects instead of raw data. It provides a way to map database tables to JavaScript objects, making it easier to work with data models and relationships. MySQL, on the other hand, is a traditional RDBMS without built-in ORM capabilities, and developers need to handle mapping between database and code manually.
Flexibility and Customization:

Knex.js offers a high level of flexibility and customization. It provides various hooks and plugins to extend its functionalities, allowing developers to add custom behavior or modify default behaviors. On the contrary, MySQL is a fixed system with limited extensibility options, and developers have to rely on external tools and frameworks to achieve customization.
Cross-Platform Compatibility:

Knex.js provides cross-platform compatibility as it can be used with different JavaScript environments like Node.js and browsers. This flexibility allows developers to build applications that can run on various platforms. On the other hand, MySQL is a standalone database management system that needs to be installed and configured individually on the host machine, limiting its platform compatibility.
Ease of Migration and Deployment:

Knex.js simplifies the migration and deployment process by providing built-in migration tools. These tools allow developers to define and execute database schema changes using code, making it easier to manage database changes in version control systems. MySQL, on the other hand, requires manual execution of SQL scripts or other external tools for migration and deployment, which can be more time-consuming and error-prone.

In summary, Knex.js offers a more expressive query building syntax, supports multiple databases, provides ORM functionality, offers flexibility and customization options, provides cross-platform compatibility, and simplifies migration and deployment compared to MySQL.

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Advice on MySQL, Knex.js

Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

Decidedon

PostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k

Comments

Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k

Comments

Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceon

MySQL

PostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k

Comments

Detailed Comparison

MySQL	Knex.js
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.	Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.
-	SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle
Statistics
GitHub Stars 11.8K	GitHub Stars -
GitHub Forks 4.1K	GitHub Forks -
Stacks 129.6K	Stacks 181
Followers 108.6K	Followers 406
Votes 3.8K	Votes 49
Pros & Cons
Pros 800 Sql 679 Free 562 Easy 528 Widely used 490 Open source Cons 16 Owned by a company with their own agenda 3 Can't roll back schema changes	Pros 11 Write once and then connect to almost any sql engine 10 Faster 8 Nice api, Migrations/Seeds 7 Free 7 Flexibility in what engine you choose
Integrations
No integrations available	PostgreSQL Oracle SQLite

What are some alternatives to MySQL, Knex.js?

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

Related Comparisons

Knex.js vs MySQL: What are the differences?

Introduction

Syntax and Query Building:

Knex.js provides a more simplified and expressive syntax for building database queries compared to MySQL. With Knex.js, developers can use chained methods and JavaScript functions to construct queries, making it easier to write and read complex queries. On the other hand, MySQL uses SQL (Structured Query Language) syntax, which is more rigid and may require writing longer and more verbose queries.
Database Support:

MySQL is specifically designed as an RDBMS and supports multiple databases, including MySQL cluster, MySQL innodb, and more. On the other hand, Knex.js is a query builder and supports various database systems like MySQL, PostgreSQL, SQLite, and Oracle. This makes Knex.js more versatile in terms of working with different database engines.
ORM Functionality:

Knex.js provides Object-Relational Mapping (ORM) functionality, allowing developers to work with objects instead of raw data. It provides a way to map database tables to JavaScript objects, making it easier to work with data models and relationships. MySQL, on the other hand, is a traditional RDBMS without built-in ORM capabilities, and developers need to handle mapping between database and code manually.
Flexibility and Customization:

Knex.js offers a high level of flexibility and customization. It provides various hooks and plugins to extend its functionalities, allowing developers to add custom behavior or modify default behaviors. On the contrary, MySQL is a fixed system with limited extensibility options, and developers have to rely on external tools and frameworks to achieve customization.
Cross-Platform Compatibility:

Knex.js provides cross-platform compatibility as it can be used with different JavaScript environments like Node.js and browsers. This flexibility allows developers to build applications that can run on various platforms. On the other hand, MySQL is a standalone database management system that needs to be installed and configured individually on the host machine, limiting its platform compatibility.
Ease of Migration and Deployment:

Knex.js simplifies the migration and deployment process by providing built-in migration tools. These tools allow developers to define and execute database schema changes using code, making it easier to manage database changes in version control systems. MySQL, on the other hand, requires manual execution of SQL scripts or other external tools for migration and deployment, which can be more time-consuming and error-prone.

Knex.js vs MySQL

Overview