Overview

GORM

Stacks193

Followers128

Votes0

GitHub Stars657

Forks194

Dapper

Stacks574

Followers85

Votes6

Dapper vs GORM: What are the differences?

Performance: Dapper is known for its excellent performance and is optimized for high-speed data access. It uses a lightweight and minimalistic approach for mapping database rows to objects, allowing for faster execution and lower memory consumption. On the other hand, GORM is a full-featured ORM (Object-Relational Mapping) that offers a wide range of features but might not perform as efficiently as Dapper in certain scenarios.
Language Support: Dapper is primarily designed for the .NET framework and is widely used with C#. It provides seamless integration with C# code and has specific extensions for popular .NET languages. Conversely, GORM is specifically built for the Go programming language and follows Go's idiomatic style. It provides robust support for Go's concurrency features and leverages its functionality for a smoother development experience.
Querying Approach: Dapper focuses primarily on providing support for raw SQL queries. It allows developers to write their SQL queries directly and maps the results to objects without any complex abstraction layer. On the other hand, GORM provides a more abstract and higher-level querying approach. It offers a wide range of query methods and supports dynamic query building using chained method calls. This allows developers to write complex queries without explicitly writing raw SQL statements.
Database Support: Dapper works with a variety of databases, including SQL Server, MySQL, Oracle, SQLite, and PostgreSQL, among others. It provides consistent support for different database providers and allows developers to leverage specific features offered by each database. Conversely, GORM is primarily optimized for working with relational databases, such as MySQL, PostgreSQL, and SQLite. Although it can work with other databases through plugins, its core functionality is designed for relational databases.
External Dependencies: Dapper is a lightweight library with minimal dependencies. It has no external dependencies outside of the .NET framework, making it easy to integrate into existing projects. In contrast, GORM has a higher number of external dependencies, as it relies on various Go libraries to provide its extensive functionality. While these dependencies enhance GORM's feature set, they may introduce additional complexity and versioning issues during project setup and maintenance.
Community and Support: Dapper has a large and active community of developers who actively contribute to its development and maintenance. It has been around for a longer time and has gained widespread adoption in the .NET ecosystem. GORM, on the other hand, is relatively newer, but it is backed by a growing community of developers who are actively improving and expanding its features. While both frameworks have their respective communities, Dapper's larger community may provide more readily available resources and support.

In summary, Dapper and GORM have key differences in terms of performance, language support, querying approach, database support, external dependencies, and community and support. Dapper focuses on speed and efficiency with its minimalistic approach, while GORM offers a full-featured ORM with a higher-level querying approach. The choice between the two depends on specific requirements and preferences of the development project.

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Detailed Comparison

GORM	Dapper
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.	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.
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	Parameterized queries; List Support; Literal replacements; Multi Mapping
Statistics
GitHub Stars 657	GitHub Stars -
GitHub Forks 194	GitHub Forks -
Stacks 193	Stacks 574
Followers 128	Followers 85
Votes 0	Votes 6
Pros & Cons
No community feedback yet	Pros 6 Fastest ORM
Integrations
MongoDB Jenkins Spring Boot Groovy	MySQL SQLite Microsoft SQL Server .NET Oracle PostgreSQL Firebird

What are some alternatives to GORM, Dapper?

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

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

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

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

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

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

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.