StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. GORM vs Sequelize

GORM vs Sequelize

OverviewComparisonAlternatives

Overview

Sequelize
Sequelize
Stacks1.0K
Followers1.4K
Votes143
GitHub Stars30.2K
Forks4.3K
GORM
GORM
Stacks193
Followers128
Votes0
GitHub Stars657
Forks194

GORM vs Sequelize: What are the differences?

Key Differences between GORM and Sequelize

GORM and Sequelize are both object-relational mapping (ORM) libraries used for database management in different programming languages. While GORM is primarily used in the Go programming language, Sequelize is used in the Node.js runtime environment. Here are some key differences between the two:

  1. Database Support: GORM supports various databases including MySQL, PostgreSQL, SQLite, and Microsoft SQL Server. On the other hand, Sequelize supports databases such as MySQL, PostgreSQL, SQLite, and Microsoft SQL Server, as well as Oracle, MariaDB, and Amazon Redshift. Additionally, Sequelize also supports NoSQL databases like MongoDB.

  2. Model Associations: GORM primarily focuses on defining model associations using tags, annotations, or field-level relationships. Sequelize, however, provides a more dynamic approach to model associations using methods and associations directly within the models. This gives Sequelize greater flexibility and control over the relationships between models.

  3. Query Building and Execution: GORM provides a fluent query builder that allows developers to chain methods and construct complex queries. It also supports preloading associations to minimize the number of database queries. Sequelize, on the other hand, offers a similar query builder but also supports raw SQL queries. Additionally, Sequelize provides hooks for lifecycle events, allowing developers to execute custom logic before or after certain operations.

  4. Migration and Schema Management: GORM provides automatic schema migration by default, where it generates and executes SQL statements to update the database schema based on changes in the model. Sequelize, however, requires developers to write and execute migration scripts explicitly to update the database schema. This provides more control and versioning options but requires additional effort for schema changes.

  5. Validation: GORM supports model validation by using struct field tags to define validation rules. It provides various validation options such as required fields, length constraints, and regular expression matching. Sequelize, on the other hand, offers a more comprehensive validation mechanism, allowing developers to define custom validation functions, perform async validations, and handle complex validation scenarios more easily.

  6. Middleware and Hooks: GORM provides middleware-like features using callbacks, interceptors, or plugins for performing pre/post-processing of database operations. Sequelize, however, offers built-in support for hooks, where developers can define custom functions that get executed before or after specific database actions. This allows for better control and extensibility when implementing business logic.

In summary, the key differences between GORM and Sequelize lie in database suppo

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Sequelize
Sequelize
GORM
GORM

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.

It is a fantastic ORM library for Golang, aims to be developer friendly. It is an ORM library for dealing with relational databases. This library is developed on top of database/sql package.

-
Full-Featured ORM; Associations (has one, has many, belongs to, many to many, polymorphism, single-table inheritance); Hooks (before/after create/save/update/delete/find); Eager loading with Preload, Joins; Transactions, Nested Transactions, Save Point, RollbackTo to Saved Point; Context, Prepared Statment Mode, DryRun Mode; Batch Insert, FindInBatches, Find/Create with Map, CRUD with SQL Expr and Context Valuer; SQL Builder, Upsert, Locking, Optimizer/Index/Comment Hints, Named Argument, SubQuery; Composite Primary Key, Indexes, Constraints; Auto Migrations; Logger; Extendable, flexible plugin API
Statistics
GitHub Stars
30.2K
GitHub Stars
657
GitHub Forks
4.3K
GitHub Forks
194
Stacks
1.0K
Stacks
193
Followers
1.4K
Followers
128
Votes
143
Votes
0
Pros & Cons
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
No community feedback yet
Integrations
SQLite
SQLite
Microsoft SQL Server
Microsoft SQL Server
Node.js
Node.js
PostgreSQL
PostgreSQL
MySQL
MySQL
MariaDB
MariaDB
io.js
io.js
MongoDB
MongoDB
Jenkins
Jenkins
Spring Boot
Spring Boot
Groovy
Groovy

What are some alternatives to Sequelize, GORM?

Prisma

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

Hibernate

Hibernate

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

Doctrine 2

Doctrine 2

Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

MikroORM

MikroORM

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases.

Entity Framework

Entity Framework

It is an object-relational mapper that enables .NET developers to work with relational data using domain-specific objects. It eliminates the need for most of the data-access code that developers usually need to write.

peewee

peewee

A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.

MyBatis

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

Entity Framework Core

Entity Framework Core

It is a lightweight, extensible, open source and cross-platform version of the popular Entity Framework data access technology. It can serve as an object-relational mapper (O/RM), enabling .NET developers to work with a database using .NET objects, and eliminating the need for most of the data-access code they usually need to write.

SQLAlchemy

SQLAlchemy

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

Dapper

Dapper

It is an object-relational mapping product for the Microsoft.NET platform: it provides a framework for mapping an object-oriented domain model to a traditional relational database.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase