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  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. Dapper vs Doctrine 2

Dapper vs Doctrine 2

OverviewComparisonAlternatives

Overview

Doctrine 2
Doctrine 2
Stacks284
Followers207
Votes31
Dapper
Dapper
Stacks574
Followers85
Votes6

Dapper vs Doctrine 2: What are the differences?

# Key Differences Between Dapper and Doctrine 2

Dapper and Doctrine 2 are both object-relational mapping (ORM) tools used in different programming languages. While Dapper is known for its simplicity and performance with a focus on raw SQL queries, Doctrine 2 is more feature-rich, providing a wide range of functionalities for complex use cases.

1. **Query Execution**: Dapper emphasizes performance by allowing users to execute SQL queries directly, resulting in faster data retrieval. In contrast, Doctrine 2 abstracts query execution through its QueryBuilder API, offering a more object-oriented approach but potentially impacting performance.

2. **Configuration**: Dapper is designed for minimal configuration, making it ideal for developers seeking quick integration with existing projects. On the other hand, Doctrine 2 requires more configuration settings to set up entity mappings, relationships, and caching strategies, catering to applications with intricate database structures.

3. **Language Support**: Dapper is primarily used with .NET languages such as C# and F#, while Doctrine 2 is tailored for PHP applications. This distinction in language support influences the community size, documentation availability, and ecosystem surrounding each ORM tool.

4. **Caching Mechanisms**: Dapper offers limited support for caching mechanisms, usually relying on database-level caching solutions. In comparison, Doctrine 2 includes a flexible caching system, enabling developers to choose from different caching strategies like APC or Redis to optimize performance.

5. **Lazy Loading**: Doctrine 2 provides built-in support for lazy loading, ensuring that related entities are only fetched from the database when needed, thus improving memory usage. Dapper lacks native lazy loading capabilities, potentially leading to increased resource consumption when dealing with highly interconnected data structures.

6. **Configuration Flexibility**: While Dapper follows a convention-over-configuration approach, limiting customization options, Doctrine 2 allows for extensive customization through annotations, XML/YAML configuration files, or PHP code. This flexibility in configuration enables developers to tailor the ORM to specific project requirements with ease.

In Summary, Dapper focuses on simplicity and performance with direct SQL execution, while Doctrine 2 offers extensive features and customization options for complex ORM scenarios in PHP applications.

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Detailed Comparison

Doctrine 2
Doctrine 2
Dapper
Dapper

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.

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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Parameterized queries; List Support; Literal replacements; Multi Mapping
Statistics
Stacks
284
Stacks
574
Followers
207
Followers
85
Votes
31
Votes
6
Pros & Cons
Pros
  • 14
    Great abstraction, easy to use, good docs
  • 10
    Object-Oriented
  • 7
    Easy setup
Pros
  • 6
    Fastest ORM
Integrations
PHP
PHP
MySQL
MySQL
SQLite
SQLite
Microsoft SQL Server
Microsoft SQL Server
.NET
.NET
Oracle
Oracle
PostgreSQL
PostgreSQL
Firebird
Firebird

What are some alternatives to Doctrine 2, Dapper?

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.

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.

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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