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  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. GORM vs SQLAlchemy

GORM vs SQLAlchemy

OverviewComparisonAlternatives

Overview

SQLAlchemy
SQLAlchemy
Stacks1.6K
Followers511
Votes7
GitHub Stars3.5K
Forks878
GORM
GORM
Stacks193
Followers128
Votes0
GitHub Stars657
Forks194

GORM vs SQLAlchemy: What are the differences?

  1. 1. Object-Relational Mapping (ORM): GORM is a specialized ORM tool for the Go programming language, while SQLAlchemy is an ORM tool for Python. Both GORM and SQLAlchemy provide a high-level, object-oriented interface to interact with databases. GORM focuses on simplicity and ease of use, while SQLAlchemy provides a more flexible and powerful ORM framework.

  2. 2. Query Language: GORM uses a simplified query language called GormQuery, which is designed to make it easy to build and execute database queries. On the other hand, SQLAlchemy uses a powerful SQL-like query language called SQLAlchemy Query Language (SQLAlchemy SQL), which allows for complex querying and manipulation of data.

  3. 3. Relationships and Associations: GORM provides a simple and intuitive way to define and manage relationships between tables by using struct tags. SQLAlchemy, on the other hand, provides a more extensive and expressive way to define relationships using its Object Relational API (ORM API). SQLAlchemy supports a wide range of relationships, including one-to-one, one-to-many, and many-to-many.

  4. 4. Data Validation: GORM provides built-in support for data validation using struct tags. It allows developers to specify various constraints on the data, such as required fields, data types, and custom validation functions. SQLAlchemy, on the other hand, does not provide built-in data validation. Developers need to handle data validation separately, either using custom validators or third-party libraries.

  5. 5. Database Connection Management: GORM provides a built-in connection pooling mechanism, which helps manage database connections efficiently and improves overall application performance. SQLAlchemy, on the other hand, does not provide a built-in connection pooling mechanism. It relies on external connection pooling solutions, such as Connection Pooling API provided by the underlying database driver or third-party libraries.

  6. 6. Supported Databases: GORM supports a limited number of databases, including MySQL, PostgreSQL, SQLite, and SQL Server. SQLAlchemy, on the other hand, supports a wide range of databases, including all the databases supported by GORM as well as Oracle, DB2, Firebird, Informix, and more.

In Summary, GORM and SQLAlchemy are both ORM tools, but GORM focuses on simplicity and ease of use, while SQLAlchemy provides more flexibility and power. GORM uses a simplified query language and provides built-in support for data validation and connection pooling. SQLAlchemy offers a powerful SQL-like query language, extensive relationship management capabilities, and support for a wider range of databases.

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Detailed Comparison

SQLAlchemy
SQLAlchemy
GORM
GORM

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

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
3.5K
GitHub Stars
657
GitHub Forks
878
GitHub Forks
194
Stacks
1.6K
Stacks
193
Followers
511
Followers
128
Votes
7
Votes
0
Pros & Cons
Pros
  • 7
    Open Source
Cons
  • 2
    Documentation
No community feedback yet
Integrations
Python
Python
MongoDB
MongoDB
Jenkins
Jenkins
Spring Boot
Spring Boot
Groovy
Groovy

What are some alternatives to SQLAlchemy, GORM?

Sequelize

Sequelize

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.

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.

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.

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