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  5. Apache Camel vs Flynn

Apache Camel vs Flynn

OverviewComparisonAlternatives

Overview

Flynn
Flynn
Stacks14
Followers48
Votes16
GitHub Stars7.9K
Forks592
Apache Camel
Apache Camel
Stacks8.2K
Followers323
Votes22
GitHub Stars6.0K
Forks5.1K

Apache Camel vs Flynn: What are the differences?

  1. Integration Framework: Apache Camel is an open-source integration framework that focuses on routing and mediation rules, while Flynn is a platform designed for running and managing applications in a distributed environment.
  2. Use Case: Apache Camel is commonly used for enterprise integration, messaging, and routing, while Flynn is used for deployment, scaling, and monitoring of applications across a cluster of machines.
  3. Community Support: Apache Camel has a large and active community that provides extensive documentation, support, and a wide range of components, whereas Flynn has a smaller user base and may have limited community resources.
  4. Scalability: Apache Camel can be used in a variety of architectures and systems, allowing for complex integration scenarios, whereas Flynn is focused on simplifying application deployment and management in containerized environments.
  5. Learning Curve: Apache Camel may have a steeper learning curve due to its versatility and advanced features, while Flynn aims to provide a more straightforward approach to application deployment and scaling in a containerized environment.
  6. Deployment Model: Apache Camel can be integrated into existing systems and architectures, while Flynn is designed to be a standalone platform for managing applications in a distributed environment.

In Summary, Apache Camel and Flynn serve different purposes in the realm of integration and application management, with Apache Camel focusing on integration framework capabilities and Flynn specializing in application deployment and scaling.

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Detailed Comparison

Flynn
Flynn
Apache Camel
Apache Camel

Flynn lets you deploy apps with git push and containers. Developers can deploy any app to any cluster in seconds.

An open source Java framework that focuses on making integration easier and more accessible to developers.

Flynn goes beyond 12 factor apps. Run any Linux process written in any language or framework, even stateful apps on your own servers or any public cloud.;Scaling or adding a new cluster is simple: just add more nodes. Everything is containerized, Flynn takes care of distributing work across the cluster.;Flynn is 100% free and open source. Flynn works great out of the box, and since Flynn is modular and API-driven it's easy to modify and swap components to suit your needs.
-
Statistics
GitHub Stars
7.9K
GitHub Stars
6.0K
GitHub Forks
592
GitHub Forks
5.1K
Stacks
14
Stacks
8.2K
Followers
48
Followers
323
Votes
16
Votes
22
Pros & Cons
Pros
  • 6
    Free
  • 5
    Supports few types of containers:libvirt-lxc, docker
  • 2
    Easy setup
  • 2
    PostgreSQL HA
  • 1
    12-factor methodology
Pros
  • 5
    Based on Enterprise Integration Patterns
  • 4
    Highly configurable
  • 4
    Has over 250 components
  • 4
    Free (open source)
  • 3
    Open Source
Integrations
Scala
Scala
Rails
Rails
Ruby
Ruby
Clojure
Clojure
Grails
Grails
Java
Java
Golang
Golang
Django
Django
PHP
PHP
PostgreSQL
PostgreSQL
Spring Boot
Spring Boot

What are some alternatives to Flynn, Apache Camel?

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

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