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  5. Conductor vs Nameko

Conductor vs Nameko

OverviewDecisionsComparisonAlternatives

Overview

Conductor
Conductor
Stacks66
Followers122
Votes0
GitHub Stars12.8K
Forks2.3K
Nameko
Nameko
Stacks20
Followers79
Votes0
GitHub Stars4.8K
Forks468

Conductor vs Nameko: What are the differences?

Introduction

When looking at Conductor and Nameko, it is important to understand their key differences in order to make an informed decision on which technology to use for your project.

  1. Architecture: Conductor is a workflow orchestration engine that focuses on coordinating microservices whereas Nameko is a microservices framework that provides an easy way to create and deploy microservices. Conductor is more suitable for managing complex workflow processes across multiple microservices, while Nameko is better for building individual microservices.

  2. Language Support: Conductor is written in Java and offers support for Java-based microservices, making it a good choice for organizations utilizing Java technologies. On the other hand, Nameko is written in Python and is well-suited for Python-based microservices, providing a seamless integration with Python codebases.

  3. Community and Ecosystem: Conductor has a larger community and ecosystem around it, being developed and maintained by Netflix. This means that there are more resources, documentation, and support available for Conductor users. Nameko, although not as widely adopted as Conductor, is still actively maintained and has a dedicated community of users and contributors.

  4. Feature Set: Conductor offers advanced features for workflow management such as DSL-based workflow definitions, support for conditional branching, parallel execution, and retries. Nameko, on the other hand, focuses on simplicity and ease of use, providing basic features for building and deploying microservices without the need for complex workflow management capabilities.

  5. Scalability: Conductor is designed to handle large-scale workflows and can scale horizontally to meet high demands. Nameko, while capable of scaling, may not be as optimized for handling complex workflow orchestration at a large scale as Conductor.

  6. Integration: Conductor integrates well with other Netflix open-source projects such as Zuul, Eureka, and Ribbon, making it a good choice for organizations already using Netflix technologies. Nameko, on the other hand, can easily integrate with various Python libraries and frameworks, providing flexibility for developers working in Python environments.

In Summary, Conductor and Nameko differ in architecture focus, language support, community support, feature set, scalability, and integration capabilities.

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Advice on Conductor, Nameko

Girish
Girish

Software Engineer at FireVisor Systems

Apr 17, 2020

Needs adviceonPythonPythonNamekoNamekoRabbitMQRabbitMQ

Which is the best Python framework for microservices?

We are using Nameko for building microservices in Python. The things we really like are dependency injection and the ease with which one can expose endpoints via RPC over RabbitMQ. We are planning to try a tool that helps us write polyglot microservices and nameko is not super compatible with it. Also, we are a bit worried about the not so good community support from nameko and looking for a python alternate to write microservices.

310k views310k
Comments

Detailed Comparison

Conductor
Conductor
Nameko
Nameko

Conductor is an orchestration engine that runs in the cloud.

Python microservices framework that leverages AMQP for RPC. It supports asynchronous and synchronous events.

Allow creating complex process / business flows in which individual task is implemented by a microservice.;A JSON DSL based blueprint defines the execution flow.;Provide visibility and traceability into the these process flows.;Expose control semantics around pause, resume, restart, etc allowing for better devops experience.;Allow greater reuse of existing microservices providing an easier path for onboarding.;User interface to visualize the process flows.;Ability to synchronously process all the tasks when needed.;Ability to scale millions of concurrently running process flows.;Backed by a queuing service abstracted from the clients.;Be able to operate on HTTP or other transports e.g. gRPC.
Focus on business logic; Distributed and scalable; Extensible
Statistics
GitHub Stars
12.8K
GitHub Stars
4.8K
GitHub Forks
2.3K
GitHub Forks
468
Stacks
66
Stacks
20
Followers
122
Followers
79
Votes
0
Votes
0
Integrations
No integrations available
Django
Django
Slack
Slack
Python
Python
Redis
Redis
Sentry
Sentry
SQLAlchemy
SQLAlchemy

What are some alternatives to Conductor, Nameko?

ExpressJS

ExpressJS

Express is a minimal and flexible node.js web application framework, providing a robust set of features for building single and multi-page, and hybrid web applications.

Django REST framework

Django REST framework

It is a powerful and flexible toolkit that makes it easy to build Web APIs.

Sails.js

Sails.js

Sails is designed to mimic the MVC pattern of frameworks like Ruby on Rails, but with support for the requirements of modern apps: data-driven APIs with scalable, service-oriented architecture.

Sinatra

Sinatra

Sinatra is a DSL for quickly creating web applications in Ruby with minimal effort.

Lumen

Lumen

Laravel Lumen is a stunningly fast PHP micro-framework for building web applications with expressive, elegant syntax. We believe development must be an enjoyable, creative experience to be truly fulfilling. Lumen attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as routing, database abstraction, queueing, and caching.

Slim

Slim

Slim is easy to use for both beginners and professionals. Slim favors cleanliness over terseness and common cases over edge cases. Its interface is simple, intuitive, and extensively documented — both online and in the code itself.

Fastify

Fastify

Fastify is a web framework highly focused on speed and low overhead. It is inspired from Hapi and Express and as far as we know, it is one of the fastest web frameworks in town. Use Fastify can increase your throughput up to 100%.

Falcon

Falcon

Falcon is a minimalist WSGI library for building speedy web APIs and app backends. We like to think of Falcon as the Dieter Rams of web frameworks.

hapi

hapi

hapi is a simple to use configuration-centric framework with built-in support for input validation, caching, authentication, and other essential facilities for building web applications and services.

TypeORM

TypeORM

It supports both Active Record and Data Mapper patterns, unlike all other JavaScript ORMs currently in existence, which means you can write high quality, loosely coupled, scalable, maintainable applications the most productive way.

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