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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cluster Management
  5. Apache Aurora vs Marathon

Apache Aurora vs Marathon

OverviewComparisonAlternatives

Overview

Apache Aurora
Apache Aurora
Stacks69
Followers96
Votes0
Marathon
Marathon
Stacks84
Followers91
Votes5

Apache Aurora vs Marathon: What are the differences?

Apache Aurora: An Apcahe Mesos framework for scheduling jobs, originally developed by Twitter. Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation; Marathon: Deploy and manage containers (including Docker) on top of Apache Mesos at scale. Marathon is an Apache Mesos framework for container orchestration. Marathon provides a REST API for starting, stopping, and scaling applications. Marathon is written in Scala and can run in highly-available mode by running multiple copies. The state of running tasks gets stored in the Mesos state abstraction.

Apache Aurora belongs to "Cluster Management" category of the tech stack, while Marathon can be primarily classified under "Container Tools".

Apache Aurora and Marathon are both open source tools. Marathon with 3.87K GitHub stars and 875 forks on GitHub appears to be more popular than Apache Aurora with 616 GitHub stars and 231 GitHub forks.

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Detailed Comparison

Apache Aurora
Apache Aurora
Marathon
Marathon

Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.

Marathon is an Apache Mesos framework for container orchestration. Marathon provides a REST API for starting, stopping, and scaling applications. Marathon is written in Scala and can run in highly-available mode by running multiple copies. The state of running tasks gets stored in the Mesos state abstraction.

Deployment and scheduling of jobs;The abstraction a “job” to bundle and manage Mesos tasks;A rich DSL to define services;Health checking;Failure domain diversity;Instant provisioning
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Statistics
Stacks
69
Stacks
84
Followers
96
Followers
91
Votes
0
Votes
5
Pros & Cons
No community feedback yet
Pros
  • 1
    High Availability
  • 1
    Powerful UI
  • 1
    Service Discovery
  • 1
    Load Balancing
  • 1
    Health Checks
Integrations
Apache Mesos
Apache Mesos
Vagrant
Vagrant
Mesosphere
Mesosphere
Apache Mesos
Apache Mesos
Docker
Docker

What are some alternatives to Apache Aurora, Marathon?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

Nomad

Nomad

Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.

Apache Mesos

Apache Mesos

Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

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