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  5. Java 8 vs RxJava

Java 8 vs RxJava

OverviewComparisonAlternatives

Overview

RxJava
RxJava
Stacks464
Followers175
Votes1
GitHub Stars48.4K
Forks7.6K
Java 8
Java 8
Stacks685
Followers630
Votes0

Java 8 vs RxJava: What are the differences?

Introduction

In this article, we will explore the key differences between Java 8 and RxJava. Java 8 is a programming language, while RxJava is a library for composing asynchronous and event-based programs using observable sequences. Both have their own unique features and functionalities that set them apart from each other.

  1. Stream Processing vs Reactive Programming: While Java 8 introduced the concept of stream processing with the Stream API, RxJava is built on the principles of reactive programming. Stream processing focuses on processing collections of data in a sequential manner, whereas reactive programming enables the composition of asynchronous and event-based programs, allowing for more flexible and efficient handling of data streams.

  2. Synchronous Execution vs Asynchronous Execution: Java 8 primarily relies on synchronous execution, where the execution of code blocks occurs in a sequential manner. On the other hand, RxJava supports asynchronous execution, allowing for the concurrent processing of tasks and asynchronous handling of events. This enables RxJava to handle complex scenarios involving multiple threads and non-blocking I/O operations more effectively.

  3. Functional Programming vs Functional Reactive Programming: Java 8 introduced functional programming concepts such as lambda expressions and method references, enabling developers to write more concise and expressive code. However, RxJava takes functional programming a step further by incorporating functional reactive programming, which combines the benefits of functional programming and reactive programming. This allows for the composition of complex data flow pipelines, where data is transformed and processed in a reactive and event-driven manner.

  4. Hot vs Cold Observables: In RxJava, observables are classified into two categories: hot observables and cold observables. Hot observables emit data regardless of whether there are any subscribers, while cold observables emit data only when a subscriber is present. This distinction allows for more control over data streams and helps optimize resource utilization.

  5. Error Handling: Java 8 provides error handling mechanisms such as try-catch blocks and checked exceptions. RxJava, on the other hand, adopts a more reactive approach to error handling by providing operators and observables specifically designed for handling errors. This allows for more granular control over error handling and the ability to propagate errors in a reactive and non-blocking manner.

  6. Backpressure Support: One of the key features of RxJava is its support for backpressure, which is the ability to handle situations where the producer emits data faster than the consumer can process it. RxJava provides various backpressure strategies and operators to control the rate at which data is emitted and consumed, ensuring efficient and responsive handling of data streams.

In summary, Java 8 focuses on stream processing and functional programming, while RxJava extends these concepts by enabling reactive programming and functional reactive programming. RxJava provides features such as asynchronous execution, hot and cold observables, advanced error handling, and backpressure support, making it a powerful library for composing asynchronous and event-based programs.

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Detailed Comparison

RxJava
RxJava
Java 8
Java 8

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

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.

Open source
-
Statistics
GitHub Stars
48.4K
GitHub Stars
-
GitHub Forks
7.6K
GitHub Forks
-
Stacks
464
Stacks
685
Followers
175
Followers
630
Votes
1
Votes
0
Pros & Cons
Pros
  • 1
    Reactive Libraries as per Reactive Manifesto
No community feedback yet
Integrations
Java
Java
No integrations available

What are some alternatives to RxJava, Java 8?

Quarkus

Quarkus

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.

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.

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.

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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