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  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. MikroORM vs Sequelize

MikroORM vs Sequelize

OverviewComparisonAlternatives

Overview

Sequelize
Sequelize
Stacks1.0K
Followers1.4K
Votes143
GitHub Stars30.2K
Forks4.3K
MikroORM
MikroORM
Stacks18
Followers68
Votes24
GitHub Stars8.6K
Forks599

MikroORM vs Sequelize: What are the differences?

  1. 1. Data Manipulation and Querying: MikroORM and Sequelize differ in their approach to data manipulation and querying. MikroORM uses an object-based approach, where entities are defined as classes with properties and methods, allowing for easier and more intuitive data manipulation. On the other hand, Sequelize uses a query-based approach, where SQL queries are constructed and executed directly, providing more flexibility but potentially sacrificing some ease of use.

  2. 2. Associations and Relationships: Another key difference between MikroORM and Sequelize is their handling of associations and relationships between entities. MikroORM provides a more intuitive way of defining and working with associations through decorators and entity metadata. Sequelize, on the other hand, allows for more fine-grained control over associations through the use of methods and options.

  3. 3. Schema Synchronization: MikroORM and Sequelize also differ in their approach to schema synchronization. MikroORM provides automatic schema migration based on entity metadata, making it easier to keep the database schema in sync with the application code. Sequelize, on the other hand, requires manual migration scripts to be written and executed, providing more control over the migration process but potentially adding complexity.

  4. 4. Database Support: MikroORM and Sequelize differ in the range of databases they support. MikroORM is primarily designed for working with relational databases such as MySQL, PostgreSQL, and SQLite, while Sequelize supports a wider range of databases including not only relational databases but also NoSQL databases like MongoDB.

  5. 5. Code Size and Complexity: MikroORM and Sequelize also differ in the code size and complexity they introduce to the application. MikroORM aims to provide a lightweight and simple ORM solution, with fewer lines of code and a simpler API. Sequelize, on the other hand, offers a more feature-rich and powerful ORM with a larger codebase and potentially more complex API.

  6. 6. Community and Ecosystem: Lastly, MikroORM and Sequelize differ in terms of their community and ecosystem support. Sequelize has been around for longer and has a larger user base and community, which means there are more resources and plugins available. MikroORM, although relatively new, has been gaining popularity and has an active community, but may have a smaller ecosystem compared to Sequelize.

In summary, MikroORM and Sequelize differ in their approach to data manipulation and querying, handling of associations and relationships, schema synchronization, database support, code size and complexity, and community and ecosystem support.

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CLI (Node.js)
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Manual

Detailed Comparison

Sequelize
Sequelize
MikroORM
MikroORM

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.

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

-
Implicit Transactions; DRY Entities; Supports both SQL and NoSQL; Clean and Simple Entity Definition; Identity Map; Entity References; Using Entity Constructors; Modelling Relationships; Collections; Unit of Work; Transactions; Cascading persist and remove; Using QueryBuilder; Preloading Deeply Nested Structures via populate; Property Validation; Lifecycle Hooks; Vanilla JS Support; Schema Generator; Entity Generator
Statistics
GitHub Stars
30.2K
GitHub Stars
8.6K
GitHub Forks
4.3K
GitHub Forks
599
Stacks
1.0K
Stacks
18
Followers
1.4K
Followers
68
Votes
143
Votes
24
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
Pros
  • 5
    Typescript
  • 4
    Supports both SQL and NoSQL
  • 3
    DRY Entities
  • 3
    Powered by Unit of Work and Identity Map
  • 3
    Allows multiple ways to define entities
Integrations
SQLite
SQLite
Microsoft SQL Server
Microsoft SQL Server
Node.js
Node.js
PostgreSQL
PostgreSQL
MySQL
MySQL
MariaDB
MariaDB
io.js
io.js
Safari
Safari

What are some alternatives to Sequelize, MikroORM?

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.

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.

NHibernate

NHibernate

It is a mature, open source object-relational mapper for the .NET framework. It's actively developed, fully featured and used in thousands of successful projects.

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