Apache Dubbo vs Argo

Overview

Apache Dubbo

Stacks33

Followers61

Votes0

GitHub Stars41.6K

Forks26.5K

Argo

Stacks760

Followers470

Votes6

Argo vs Apache Dubbo: What are the differences?

Argo: Container-native workflows for Kubernetes. Argo is an open source container-native workflow engine for getting work done on Kubernetes. Argo is implemented as a Kubernetes CRD (Custom Resource Definition); Apache Dubbo: 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.

Argo and Apache Dubbo are primarily classified as "Container" and "Remote Procedure Call (RPC)" tools respectively.

Some of the features offered by Argo are:

DAG or Steps based declaration of workflows
Artifact support (S3, Artifactory, HTTP, Git, raw)
Step level input & outputs (artifacts/parameters)

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

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

Argo and Apache Dubbo are both open source tools. It seems that Apache Dubbo with 30.1K GitHub stars and 19.8K forks on GitHub has more adoption than Argo with 4.07K GitHub stars and 603 GitHub forks.

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Detailed Comparison

Apache Dubbo	Argo
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.	Argo is an open source container-native workflow engine for getting work done on Kubernetes. Argo is implemented as a Kubernetes CRD (Custom Resource Definition).
Transparent interface based RPC; Intelligent load balancing; Automatic service registration and discovery; High extensibility	DAG or Steps based declaration of workflows;Artifact support (S3, Artifactory, HTTP, Git, raw);Step level input & outputs (artifacts/parameters);Loops;Parameterization;Conditionals;Timeouts (step & workflow level);Retry (step & workflow level);Resubmit (memoized);Suspend & Resume;Cancellation;K8s resource orchestration;Exit Hooks (notifications, cleanup);Garbage collection of completed workflow;Scheduling (affinity/tolerations/node selectors);Volumes (ephemeral/existing);Parallelism limits;Daemoned steps;DinD (docker-in-docker);Script steps
Statistics
GitHub Stars 41.6K	GitHub Stars -
GitHub Forks 26.5K	GitHub Forks -
Stacks 33	Stacks 760
Followers 61	Followers 470
Votes 0	Votes 6
Pros & Cons
No community feedback yet	Pros 3 Open Source 2 Autosinchronize the changes to deploy 1 Online service, no need to install anything
Integrations
Java IntelliJ IDEA Spring Framework Eclipse	Kubernetes Docker

What are some alternatives to Apache Dubbo, Argo?

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.