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  5. Quarkus vs guava

Quarkus vs guava

OverviewComparisonAlternatives

Overview

guava
guava
Stacks2.2K
Followers193
Votes6
GitHub Stars51.2K
Forks11.1K
Quarkus
Quarkus
Stacks312
Followers382
Votes80
GitHub Stars15.2K
Forks3.0K

Quarkus vs guava: What are the differences?

Introduction

In this comparison, we will explore the key differences between Quarkus and Guava, two popular Java libraries.

  1. Purpose: Quarkus is a framework specifically designed for creating lightweight and optimized Java applications for cloud-native and serverless environments. On the other hand, Guava is a general-purpose library developed by Google, offering a wide range of utilities and tools for Java developers.

  2. Features: Quarkus focuses on providing developers with a high-performance, low-memory footprint platform for building Java applications, utilizing technologies like GraalVM and Kubernetes. Guava, on the other hand, offers various utilities such as collections, caching, string manipulation, and concurrency support to enhance Java development.

  3. Community Support: Quarkus, being a more recent framework, has a rapidly growing community that actively contributes to its development and helps users with issues. Guava, being established by Google, also has a strong community but may have a more stable and mature codebase with fewer updates.

  4. Integration: Quarkus is known for its seamless integration with popular technologies like MicroProfile, Apache Kafka, and others, making it ideal for microservices and cloud-native applications. Guava, while versatile, may not have as extensive integration options with modern technologies compared to Quarkus.

  5. Performance: Quarkus is renowned for its ability to deliver significantly improved startup times and reduced memory consumption compared to traditional Java applications, making it highly efficient for cloud environments. Guava, while efficient in its own right, may not offer the same level of performance optimizations as Quarkus.

  6. Learning Curve: Quarkus, with its focus on simplicity and developer productivity, may have a lower learning curve compared to Guava, which offers a broader range of functionalities and utilities that may require more familiarity with the library to utilize effectively.

In Summary, Quarkus is a specialized, performance-driven framework for cloud-native Java applications, while Guava is a comprehensive utility library with a wider range of features for general Java development.

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Detailed Comparison

guava
guava
Quarkus
Quarkus

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.

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.

-
CONTAINER FIRST; UNIFIES IMPERATIVE AND REACTIVE; BEST OF BREED LIBRARIES AND STANDARDS
Statistics
GitHub Stars
51.2K
GitHub Stars
15.2K
GitHub Forks
11.1K
GitHub Forks
3.0K
Stacks
2.2K
Stacks
312
Followers
193
Followers
382
Votes
6
Votes
80
Pros & Cons
Pros
  • 5
    Interface Driven API
  • 1
    Easy to setup
Pros
  • 13
    Fast startup
  • 13
    Open source
  • 12
    Low memory footprint
  • 11
    Produce native code
  • 10
    Hot Reload
Cons
  • 2
    Boilerplate code when using Reflection
Integrations
No integrations available
Kubernetes
Kubernetes
Apache Camel
Apache Camel
Hibernate
Hibernate
Netty
Netty

What are some alternatives to guava, 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.

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.

Project Reactor

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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