Dependency Injection vs Factory Pattern in Technology - What is The Difference?

Last Updated Feb 14, 2025

The Factory Pattern is a creational design pattern that simplifies object creation by encapsulating the instantiation process within a factory class, promoting code reusability and flexibility. It allows you to create objects without specifying their exact class, making your code more scalable and easier to maintain. Discover how implementing the Factory Pattern can enhance your software architecture by reading the rest of the article.

Table of Comparison

Aspect Factory Pattern Dependency Injection
Definition Creates objects via factory methods, encapsulating instantiation logic. Injects dependencies into objects, promoting loose coupling and easier testing.
Purpose Centralizes object creation to manage complex instantiation. Separates creation and binding of dependencies from business logic.
Implementation Uses factory classes or methods to return instances. Employs containers or frameworks to inject dependencies automatically.
Coupling Level Moderate coupling; client relies on factory to get instances. Low coupling; client depends on abstraction, not creation.
Testability Improves testability by centralizing creation, but requires mocking factories. Enhances testability by allowing easy mocking of injected dependencies.
Use Case When object creation is complex or varies based on context. When managing many dependencies and promoting modular code.
Example LoggerFactory creates different logger types based on config. Service receives a Logger instance via constructor injection.

Introduction to Factory Pattern and Dependency Injection

The Factory Pattern is a creational design pattern that provides an interface for creating objects in a superclass but allows subclasses to alter the type of objects that will be created, promoting loose coupling and scalability. Dependency Injection (DI) is a design pattern that implements inversion of control by injecting dependent objects into a class rather than the class creating them internally, enhancing modularity and testability. Both patterns address object creation and dependency management, with the Factory Pattern focusing on object instantiation and Dependency Injection emphasizing the provision of dependencies from external sources.

Core Concepts Defined

The Factory Pattern centralizes object creation by defining an interface for creating objects, allowing subclasses to decide which class to instantiate, promoting loose coupling and scalability. Dependency Injection (DI) inverts control by injecting dependencies into a class rather than the class creating them, enhancing modularity and testability through external configuration. Both patterns facilitate decoupling but differ in approach: Factory Pattern controls instantiation logic internally, whereas DI delegates dependency provision externally, often using containers or frameworks.

Key Differences Between the Patterns

The Factory Pattern focuses on creating objects by encapsulating the instantiation logic within factory classes or methods, promoting loose coupling and modular code. Dependency Injection (DI) involves providing dependencies directly to a class, often via constructor or setter injection, which enhances testability and configurability by externalizing dependency management. Unlike the Factory Pattern, DI relies on an external framework or container to supply dependencies, emphasizing inversion of control rather than object creation delegation.

Typical Use Cases for Factory Pattern

The Factory Pattern is typically used when a system needs to create objects without specifying the exact class of the object being created, making it ideal for managing complex object creation and ensuring loose coupling. It is often employed in scenarios like GUI frameworks where different UI components must be instantiated dynamically based on user input or configuration. This pattern excels in encapsulating object creation logic, especially when subclasses decide which objects to instantiate, promoting flexibility and scalability in software design.

When to Use Dependency Injection

Use Dependency Injection when managing complex object lifecycles, promoting loose coupling, and enhancing testability in large-scale applications. It is ideal for scenarios requiring dynamic configuration, easier unit testing, and better separation of concerns by injecting dependencies externally rather than creating them internally. Dependency Injection frameworks like Spring or Dagger streamline dependency management, making it suitable for modern software development practices.

Pros and Cons of Factory Pattern

The Factory Pattern simplifies object creation by encapsulating instantiation logic, promoting code modularity and improving maintainability. It enhances flexibility by allowing subclasses to alter the type of objects created without modifying client code, but it can lead to increased complexity and proliferation of factory classes. This pattern may also obscure object dependencies, making dependency management less transparent compared to Dependency Injection.

Advantages and Drawbacks of Dependency Injection

Dependency Injection (DI) enhances modularity by allowing objects to receive their dependencies from external sources, promoting easier testing and maintenance. It reduces tight coupling between classes, enabling better scalability and flexibility in complex applications. However, DI can introduce complexity through extensive configuration and may obscure code readability due to indirect dependency management.

Impact on Code Maintainability

The Factory Pattern centralizes object creation, making it easier to manage and update instantiation logic, which improves code maintainability by isolating changes in one place. Dependency Injection enhances maintainability by decoupling class dependencies, enabling easier testing, modification, and scalability without altering the dependent classes. Both patterns promote cleaner, more modular code structures, but Dependency Injection offers greater flexibility for managing complex dependencies dynamically.

Real-World Examples and Code Snippets

The Factory Pattern centralizes object creation, making it ideal for scenarios like GUI frameworks where different UI elements are instantiated without exposing the creation logic; for example, a ShapeFactory can generate Circle or Rectangle objects based on user input. Dependency Injection streamlines component testing and configuration management by injecting dependencies, such as passing a LoggerService into a PaymentProcessor, improving modularity and maintainability. Code samples illustrate Factory Pattern with a createShape() method returning varied shape instances, while Dependency Injection demonstrates constructor injection to supply a DatabaseConnection to a Repository class.

Choosing the Right Pattern for Your Project

Choosing the right pattern for your project depends on the specific needs of object creation and dependency management. Factory Pattern centralizes object instantiation, providing control over complex creation logic, making it ideal for scenarios with multiple related products or when instantiation requires intricate steps. Dependency Injection emphasizes decoupling by injecting dependencies externally, enhancing testability and flexibility, particularly suitable for projects requiring scalable, maintainable codebases with dynamic dependency resolution.

Factory Pattern Infographic

Dependency Injection vs Factory Pattern in Technology - What is The Difference?


About the author. JK Torgesen is a seasoned author renowned for distilling complex and trending concepts into clear, accessible language for readers of all backgrounds. With years of experience as a writer and educator, Torgesen has developed a reputation for making challenging topics understandable and engaging.

Disclaimer.
The information provided in this document is for general informational purposes only and is not guaranteed to be complete. While we strive to ensure the accuracy of the content, we cannot guarantee that the details mentioned are up-to-date or applicable to all scenarios. Topics about Factory Pattern are subject to change from time to time.

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