StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Languages
  4. Java Tools
  5. Project Reactor vs Quarkus

Project Reactor vs Quarkus

OverviewComparisonAlternatives

Overview

Project Reactor
Project Reactor
Stacks308
Followers83
Votes0
Quarkus
Quarkus
Stacks311
Followers382
Votes80
GitHub Stars15.2K
Forks3.0K

Project Reactor vs Quarkus: What are the differences?

Introduction

In this article, we will discuss the key differences between Project Reactor and Quarkus. Both Project Reactor and Quarkus are popular technologies used in modern web application development. Understanding their differences can help developers choose the right tool for their specific needs.

  1. Execution Model: Project Reactor is based on the Reactive Streams specification and implements the Publisher/Subscriber pattern. It provides an asynchronous and non-blocking programming model, allowing for efficient handling of large numbers of concurrent requests. On the other hand, Quarkus uses a traditional, imperative execution model with blocking IO. While it supports reactive programming to some extent, it is primarily designed for synchronous, blocking applications.

  2. Language Support: Project Reactor is primarily written in Java but supports other JVM languages like Kotlin and Groovy as well. It provides a functional programming style with reactive primitives and operators. Quarkus, on the other hand, is a framework specifically built for Java. It leverages the capabilities of Java and offers various programming models, such as imperative, reactive, and microservices, to develop applications.

  3. Runtime Environment: Project Reactor is designed to run on a wide range of runtime environments, including traditional servlet containers, standalone applications, and cloud-native platforms like Spring Boot. It can be used with or without a framework. Quarkus, on the other hand, is focused on providing an optimized runtime environment for developing container-first, microservices-based applications. It is built on top of the GraalVM and utilizes native compilation for fast startup and low memory consumption.

  4. Startup Time and Memory Footprint: Project Reactor has a relatively small startup time and memory footprint. It performs lazy initialization of resources and allows for dynamic scaling, making it suitable for applications with varying workloads. Quarkus, on the other hand, offers extremely fast startup times and low memory consumption due to its native compilation feature. It is specifically designed for containerized deployments where fast boot time and low resource utilization are critical.

  5. Ecosystem and Community: Project Reactor is part of the larger Spring ecosystem and benefits from its extensive community support, documentation, and integrations with other Spring projects. It has been widely adopted by developers and has a large and active community. Quarkus, on the other hand, has a rapidly growing community but is relatively new compared to Project Reactor. It focuses on providing a lightweight and developer-friendly ecosystem with extensions for various technologies commonly used in microservices architecture.

  6. Development and Deployment Flexibility: Project Reactor provides flexibility in terms of development and deployment options. It can be used with or without a framework, and developers have the freedom to choose their preferred stack and tooling. Quarkus, on the other hand, provides a more opinionated approach to development. It comes with a predefined stack and tooling, optimized for container-first, microservices-based applications. It aims to simplify the development experience, especially for enterprise developers who want a streamlined workflow.

In summary, Project Reactor and Quarkus differ in terms of execution model, language support, runtime environment, startup time and memory footprint, ecosystem and community, and development and deployment flexibility. These differences make each technology suitable for specific use cases and developer preferences.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Project Reactor
Project Reactor
Quarkus
Quarkus

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.

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.

Fully non-blocking and provides efficient demand management. It directly interacts with Java's functional API, CompletableFuture, Stream, and Duration; Efficient Message Passing; Well-suited for a microservices architecture, it offers backpressure-ready network engines for HTTP (including Websockets), TCP, and UDP
CONTAINER FIRST; UNIFIES IMPERATIVE AND REACTIVE; BEST OF BREED LIBRARIES AND STANDARDS
Statistics
GitHub Stars
-
GitHub Stars
15.2K
GitHub Forks
-
GitHub Forks
3.0K
Stacks
308
Stacks
311
Followers
83
Followers
382
Votes
0
Votes
80
Pros & Cons
No community feedback yet
Pros
  • 13
    Open source
  • 13
    Fast startup
  • 12
    Low memory footprint
  • 11
    Produce native code
  • 10
    Hot Reload
Cons
  • 2
    Boilerplate code when using Reflection
Integrations
Spring Boot
Spring Boot
Java
Java
Kubernetes
Kubernetes
Apache Camel
Apache Camel
Hibernate
Hibernate
Netty
Netty

What are some alternatives to Project Reactor, Quarkus?

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.

guava

guava

The Guava project contains several of Google's core libraries that we rely on in our Java-based projects: collections, caching, primitives support, concurrency libraries, common annotations, string processing, I/O, and so forth.

Thymeleaf

Thymeleaf

It is a modern server-side Java template engine for both web and standalone environments. It is aimed at creating elegant web code while adding powerful features and retaining prototyping abilities.

JSF

JSF

It is used for building component-based user interfaces for web applications and was formalized as a standard through the Java Community

JavaMelody

JavaMelody

It is used to monitor Java or Java EE application servers in QA and production environments. It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users. It is mainly based on statistics of requests and on evolution charts.

RxJava

RxJava

A library for composing asynchronous and event-based programs by using observable sequences for the Java VM.

MapStruct

MapStruct

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.

Java 8

Java 8

It is a revolutionary release of the world’s no 1 development platform. It includes a huge upgrade to the Java programming model and a coordinated evolution of the JVM, Java language, and libraries. Java 8 includes features for productivity, ease of use, improved polyglot programming, security and improved performance.

Apache FreeMarker

Apache FreeMarker

It is a "template engine"; a generic tool to generate text output (anything from HTML to auto generated source code) based on templates. It's a Java package, a class library for Java programmers.

Jackson

Jackson

It is a suite of data-processing tools for Java (and the JVM platform), including the flagship streaming JSON parser / generator library, matching data-binding library (POJOs to and from JSON) and additional data format modules to process data encoded in Avro, BSON, CBOR, CSV, Smile, (Java) Properties, Protobuf, XML or YAML; and even the large set of data format modules to support data types of widely used data types such as Guava, Joda.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase