MapStruct vs Quarkus

Overview

MapStruct

Stacks54

Followers45

Votes1

GitHub Stars7.5K

Forks1.0K

Quarkus

Stacks311

Followers382

Votes80

GitHub Stars15.2K

Forks3.0K

MapStruct vs Quarkus: What are the differences?

Introduction:

MapStruct and Quarkus are both popular frameworks used in Java development. While MapStruct is a code generation library for mapping Java bean types, Quarkus is a full-stack framework designed for building lightweight and fast Java applications. Despite their differences, both frameworks offer unique features and advantages for developers.

1. MapStruct: Simple and Type-Safe Bean Mapping

MapStruct focuses on simplifying and automating the process of mapping Java bean types. It generates mapping code during the compilation process and provides type-safety, reducing the risk of runtime errors. The generated code is optimized and does not require the involvement of runtime reflection.

2. Quarkus: Lightweight and Fast Application Development

Quarkus takes a different approach by offering a full-stack framework for developing Java applications. It is specifically designed for building lightweight, container-based applications with fast startup times and low memory consumption. Quarkus leverages features like ahead-of-time compilation and native image generation to achieve these performance benefits.

3. MapStruct: No Runtime Dependencies

One key difference between MapStruct and Quarkus is the dependency management approach. MapStruct does not introduce any additional runtime dependencies to your project. Instead, it generates mapping code that is purely based on the existing Java classes. This can be beneficial for projects with strict dependency requirements or when minimizing the project's overall footprint is a priority.

4. Quarkus: Cloud-Native Architecture and Containerization

Quarkus is designed with cloud-native architecture and containerization in mind. It provides extensive support for building microservices and deploying applications on cloud platforms like Kubernetes. Quarkus offers features like reactive programming, scalable event-driven architectures, and simplified deployment and scaling options in cloud environments.

5. MapStruct: Supports Mapping Annotations and Custom Mappings

MapStruct offers support for mapping annotations, allowing developers to customize the mapping process further. By using custom annotations, developers can define specific mapping rules, handle special cases, and apply transformations on a per-field basis. MapStruct also allows the creation of custom mapping methods, providing flexibility in mapping complex or non-standard mappings.

6. Quarkus: Native Image Compilation and GraalVM Support

One of the prominent features of Quarkus is its native image compilation support. Quarkus applications can be compiled into native executables using tools like GraalVM, resulting in reduced startup times, lower memory consumption, and improved overall performance. This native image approach is particularly useful for microservices and serverless architectures, where rapid scaling and fast startup times are critical.

In Summary, MapStruct focuses on simplifying and automating bean mapping with no runtime dependencies, while Quarkus provides a lightweight, performance-optimized framework for fast application development, cloud-native architecture, and native image compilation support.

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Detailed Comparison

MapStruct	Quarkus
It is a code generator that greatly simplifies the implementation of mappings between Java bean types based on a convention over configuration approach. The generated mapping code uses plain method invocations and thus is fast, type-safe and easy to understand.	It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.
Mapping (immutable) objects using builders; Enhanced and more flexible update method (@MappingTarget) handling; Constructor injection for Annotation Based component models; Source policy for unmapped source properties (unmappedSourcePolicy); Support for defaultExpression; Limit mapping only to explicitly defined mappings; Performance improvement of constant / defaultValue primitive to String mappings; Warnings for precision loss	CONTAINER FIRST; UNIFIES IMPERATIVE AND REACTIVE; BEST OF BREED LIBRARIES AND STANDARDS
Statistics
GitHub Stars 7.5K	GitHub Stars 15.2K
GitHub Forks 1.0K	GitHub Forks 3.0K
Stacks 54	Stacks 311
Followers 45	Followers 382
Votes 1	Votes 80
Pros & Cons
Pros 1 Abstraction of the object conversion	Pros 13 Fast startup 13 Open source 11 Produce native code 11 Low memory footprint 10 Integrated with GraalVM Cons 2 Boilerplate code when using Reflection
Integrations
NetBeans IDE Eclipse Java IntelliJ IDEA	Kubernetes Apache Camel Hibernate Netty

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guava

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Thymeleaf

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JSF

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JavaMelody

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RxJava

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Java 8

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Jackson

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Project Reactor

It is a fourth-generation Reactive library for building non-blocking applications on the JVM based on the Reactive Streams Specification. It is a fully non-blocking foundation with efficient demand management. It directly interacts with Java functional API, Completable Future, Stream and Duration.

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