MySQL vs Sequelize

Overview

MySQL

Stacks129.6K

Followers108.6K

Votes3.8K

GitHub Stars11.8K

Forks4.1K

Sequelize

Stacks1.0K

Followers1.4K

Votes143

GitHub Stars30.2K

Forks4.3K

MySQL vs Sequelize: What are the differences?

MySQL and Sequelize are both popular technologies used for working with databases. Let's explore the key differences between them.

Database Management Language: MySQL uses Structured Query Language (SQL) as its database management language. It allows users to write SQL queries to interact with the database directly. On the other hand, Sequelize is an Object-Relational Mapping (ORM) library for Node.js that abstracts away the need for writing SQL queries. Sequelize allows developers to interact with the database using JavaScript objects and methods, making it easier and more familiar for those who are already comfortable with Node.js and JavaScript.
Code Structure: When working with MySQL, developers typically write their own SQL queries and interact with the database using raw SQL strings. This gives them more control and flexibility but requires a strong knowledge of SQL. In contrast, Sequelize provides a higher level of abstraction and allows developers to work with database models, which are JavaScript classes that represent database tables. Sequelize then handles the translation of these models into SQL queries.
Ease of Use: MySQL is a mature and widely used database management system. It has a well-documented syntax and a wide range of community support. However, it requires developers to have a good understanding of SQL and the database structure. Sequelize, on the other hand, simplifies the process of interacting with the database by providing a set of methods and utilities. This makes it easier for developers to work with databases without having to write raw SQL queries.
Compatibility: MySQL is a standalone database management system that can be used with various programming languages and frameworks. It can be used with Sequelize, but it can also be used with other ORMs or directly with raw SQL queries. Sequelize, on the other hand, is specifically designed for use with Node.js. It integrates well with Node.js applications and provides a streamlined way to work with databases in a Node.js environment.
Migration Support: MySQL provides built-in support for database migrations, which allows developers to easily make changes to the database schema over time. Sequelize also provides migration support but at a higher level of abstraction. Developers can define migrations using JavaScript files, making it easier to version control and manage schema changes.
Support for Associations: Sequelize provides built-in support for defining and working with associations between different database tables. This allows developers to establish relationships such as one-to-one, one-to-many, and many-to-many. MySQL, on the other hand, does not have built-in support for associations. Developers need to manually define and handle joins between tables using SQL queries.

In summary, MySQL requires knowledge of SQL and provides more control over queries, while Sequelize abstracts away SQL and provides a higher level of ease of use. MySQL is compatible with various programming languages, while Sequelize is specifically designed for Node.js. Both MySQL and Sequelize provide migration support, but Sequelize offers a more streamlined and version-controlled approach. Finally, Sequelize provides built-in support for associations, while MySQL requires manual definition and handling of joins.

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Advice on MySQL, Sequelize

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	Sequelize
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.	Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.
Statistics
GitHub Stars 11.8K	GitHub Stars 30.2K
GitHub Forks 4.1K	GitHub Forks 4.3K
Stacks 129.6K	Stacks 1.0K
Followers 108.6K	Followers 1.4K
Votes 3.8K	Votes 143
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 42 Good ORM for node.js 31 Easy setup 21 Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite 14 Open source 13 Free Cons 30 Docs are awful 10 Relations can be confusing
Integrations
No integrations available	SQLite Microsoft SQL Server Node.js PostgreSQL MariaDB io.js

What are some alternatives to MySQL, Sequelize?

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.

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.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

Related Comparisons

MySQL vs Sequelize: What are the differences?

MySQL and Sequelize are both popular technologies used for working with databases. Let's explore the key differences between them.

Database Management Language: MySQL uses Structured Query Language (SQL) as its database management language. It allows users to write SQL queries to interact with the database directly. On the other hand, Sequelize is an Object-Relational Mapping (ORM) library for Node.js that abstracts away the need for writing SQL queries. Sequelize allows developers to interact with the database using JavaScript objects and methods, making it easier and more familiar for those who are already comfortable with Node.js and JavaScript.
Code Structure: When working with MySQL, developers typically write their own SQL queries and interact with the database using raw SQL strings. This gives them more control and flexibility but requires a strong knowledge of SQL. In contrast, Sequelize provides a higher level of abstraction and allows developers to work with database models, which are JavaScript classes that represent database tables. Sequelize then handles the translation of these models into SQL queries.
Ease of Use: MySQL is a mature and widely used database management system. It has a well-documented syntax and a wide range of community support. However, it requires developers to have a good understanding of SQL and the database structure. Sequelize, on the other hand, simplifies the process of interacting with the database by providing a set of methods and utilities. This makes it easier for developers to work with databases without having to write raw SQL queries.
Compatibility: MySQL is a standalone database management system that can be used with various programming languages and frameworks. It can be used with Sequelize, but it can also be used with other ORMs or directly with raw SQL queries. Sequelize, on the other hand, is specifically designed for use with Node.js. It integrates well with Node.js applications and provides a streamlined way to work with databases in a Node.js environment.
Migration Support: MySQL provides built-in support for database migrations, which allows developers to easily make changes to the database schema over time. Sequelize also provides migration support but at a higher level of abstraction. Developers can define migrations using JavaScript files, making it easier to version control and manage schema changes.
Support for Associations: Sequelize provides built-in support for defining and working with associations between different database tables. This allows developers to establish relationships such as one-to-one, one-to-many, and many-to-many. MySQL, on the other hand, does not have built-in support for associations. Developers need to manually define and handle joins between tables using SQL queries.

MySQL vs Sequelize

Overview