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

Apache Aurora vs Docker Compose

OverviewComparisonAlternatives

Overview

Apache Aurora
Apache Aurora
Stacks69
Followers96
Votes0
Docker Compose
Docker Compose
Stacks22.3K
Followers16.5K
Votes501
GitHub Stars36.4K
Forks5.5K

Apache Aurora vs Docker Compose: What are the differences?

What is 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.

What is Docker Compose? Define and run multi-container applications with Docker. 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.

Apache Aurora can be classified as a tool in the "Cluster Management" category, while Docker Compose is grouped under "Container Tools".

Apache Aurora and Docker Compose are both open source tools. It seems that Docker Compose with 16.6K GitHub stars and 2.56K forks on GitHub has more adoption than Apache Aurora with 616 GitHub stars and 231 GitHub forks.

According to the StackShare community, Docker Compose has a broader approval, being mentioned in 796 company stacks & 627 developers stacks; compared to Apache Aurora, which is listed in 6 company stacks and 3 developer stacks.

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Detailed Comparison

Apache Aurora
Apache Aurora
Docker Compose
Docker Compose

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.

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.

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
-
Statistics
GitHub Stars
-
GitHub Stars
36.4K
GitHub Forks
-
GitHub Forks
5.5K
Stacks
69
Stacks
22.3K
Followers
96
Followers
16.5K
Votes
0
Votes
501
Pros & Cons
No community feedback yet
Pros
  • 123
    Multi-container descriptor
  • 110
    Fast development environment setup
  • 79
    Easy linking of containers
  • 68
    Simple yaml configuration
  • 60
    Easy setup
Cons
  • 9
    Tied to single machine
  • 5
    Still very volatile, changing syntax often
Integrations
Apache Mesos
Apache Mesos
Vagrant
Vagrant
Docker
Docker

What are some alternatives to Apache Aurora, Docker Compose?

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 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.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

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