compositephp/php-datamapper-benchmark

PHP ORM Performance Analysis: Benchmarking and comparing Doctrine, Laravel, Cycle, and CompositePHP ORMs in CRUD operations on MySQL. Essential insights on speed and memory efficiency for PHP developers.

PHP DataMappers Benchmark

Overview

This repository contains benchmarks for some of the most popular PHP DataMapper's, used as a reference for performance optimizations in my personal project compositephp/db.

The projects benchmarked include:

• Doctrine
• Laravel Eloquent
• Cycle ORM
• Composite DB

Methodology

• The benchmark executes 10 000 CRUD (Create, Read, Update, Delete) operations to assess the performance.
• The benchmark tests focus exclusively on the 'DataMapper' component of each project, employing simple queries that do not involve relationships, foreign keys, or joins.

Operations include:

1. Creating a new record in the database.
2. Reading the record by primary key.
3. Updating one field for the found record.
4. Deleting the record.

Database

• MySQL 8.0
• Table used for the benchmark:

CREATE TABLE IF NOT EXISTS Users
(
    `id` INTEGER NOT NULL PRIMARY KEY AUTO_INCREMENT,
    `name` VARCHAR(255) NOT NULL,
    `age` INTEGER NOT NULL,
    `microtime` FLOAT NOT NULL,
    `created_at` TIMESTAMP DEFAULT CURRENT_TIMESTAMP NOT NULL
);

Results

MacBook Pro with Apple M2 Pro Chip and 12‑Core CPU:

Project	Time (seconds)	Memory Kb	Memory Peak Mb
Laravel Eloquent	61.51	4950.91	8.063
Cycle ORM	44.32	288.15	7.007
Doctrine	37.45	870.24	6.408
CompositeDB	24.71	143.46	2.217

Running Locally

Requirements

• PHP 8.1+
• Docker
• Composer
• PDO_MySQL extension

Steps

1. Clone or download this repository
2. Run composer update
3. Execute docker-compose up
4. Run benchmarks for each DataMapper separately:
   • php src/test-laravel.php
   • php src/test-cycle.php
   • php src/test-doctrine.php
   • php src/test-composite.php

Note

This is a synthetic benchmark focused on speed and memory consumption and does not compare the feature list of the projects. Feel free to note any problems, inaccuracies, or shortcomings in using these projects and make a pull request to fix them.