Apache Dubbo vs Spring Batch

Overview

Apache Dubbo

Stacks33

Followers61

Votes0

GitHub Stars41.6K

Forks26.5K

Spring Batch

Stacks184

Followers249

Votes0

GitHub Stars2.9K

Forks2.5K

Spring Batch vs Dubbo: What are the differences?

Developers describe Spring Batch as "A lightweight, comprehensive batch framework". It is designed to enable the development of robust batch applications vital for the daily operations of enterprise systems It also provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management.. On the other hand, Dubbo is detailed as "A high performance Java RPC framework". It is a high-performance, light weight, java based RPC framework. Dubbo offers three key functionalities, which include interface based remote call, fault tolerance & load balancing, and automatic service registration & discovery.

Spring Batch belongs to "Frameworks (Full Stack)" category of the tech stack, while Dubbo can be primarily classified under "Remote Procedure Call (RPC)".

Some of the features offered by Spring Batch are:

Transaction management
Chunk based processing
Declarative I/O

On the other hand, Dubbo provides the following key features:

Transparent interface based RPC
Intelligent load balancing
Automatic service registration and discovery

Spring Batch and Dubbo are both open source tools. It seems that Dubbo with 28.4K GitHub stars and 18.7K forks on GitHub has more adoption than Spring Batch with 1.32K GitHub stars and 1.33K GitHub forks.

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Detailed Comparison

Apache Dubbo	Spring Batch
It is a high-performance, light weight, java based RPC framework. Dubbo offers three key functionalities, which include interface based remote call, fault tolerance & load balancing, and automatic service registration & discovery.	It is designed to enable the development of robust batch applications vital for the daily operations of enterprise systems. It also provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management.
Transparent interface based RPC; Intelligent load balancing; Automatic service registration and discovery; High extensibility	Transaction management; Chunk based processing; Declarative I/O
Statistics
GitHub Stars 41.6K	GitHub Stars 2.9K
GitHub Forks 26.5K	GitHub Forks 2.5K
Stacks 33	Stacks 184
Followers 61	Followers 249
Votes 0	Votes 0
Integrations
Java IntelliJ IDEA Spring Framework Eclipse	Spring Boot MongoDB

What are some alternatives to Apache Dubbo, Spring Batch?

Node.js

Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

Rails

Rails is a web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern.

Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

Laravel

It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching.

.NET

.NET is a general purpose development platform. With .NET, you can use multiple languages, editors, and libraries to build native applications for web, mobile, desktop, gaming, and IoT for Windows, macOS, Linux, Android, and more.

ASP.NET Core

A free and open-source web framework, and higher performance than ASP.NET, developed by Microsoft and the community. It is a modular framework that runs on both the full .NET Framework, on Windows, and the cross-platform .NET Core.

Symfony

It is written with speed and flexibility in mind. It allows developers to build better and easy to maintain websites with PHP..

Spring

A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.

Spring Boot

Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.