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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cluster Management
  5. Apache Mesos vs Azure Container Service

Apache Mesos vs Azure Container Service

OverviewComparisonAlternatives

Overview

Apache Mesos
Apache Mesos
Stacks306
Followers418
Votes31
GitHub Stars5.3K
Forks1.7K
Azure Container Service
Azure Container Service
Stacks97
Followers214
Votes11

Azure Container Service vs Apache Mesos: What are the differences?

Azure Container Service: Deploy and manage containers using the tools you choose. Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else; Apache Mesos: Develop and run resource-efficient distributed systems. Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

Azure Container Service can be classified as a tool in the "Containers as a Service" category, while Apache Mesos is grouped under "Cluster Management".

Some of the features offered by Azure Container Service are:

  • Create a container hosting solution optimized for Azure
  • Scale and orchestrate applications using Apache Mesos or Docker Swarm
  • Use popular open source, client-side tooling

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

  • Fault-tolerant replicated master using ZooKeeper
  • Scalability to 10,000s of nodes
  • Isolation between tasks with Linux Containers

"Easy to setup, very agnostic" is the top reason why over 3 developers like Azure Container Service, while over 19 developers mention "Easy scaling" as the leading cause for choosing Apache Mesos.

Airbnb, Netflix, and Twitter are some of the popular companies that use Apache Mesos, whereas Azure Container Service is used by QwikSense, Veris, and Sensewaves. Apache Mesos has a broader approval, being mentioned in 61 company stacks & 19 developers stacks; compared to Azure Container Service, which is listed in 8 company stacks and 7 developer stacks.

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Detailed Comparison

Apache Mesos
Apache Mesos
Azure Container Service
Azure Container Service

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

Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else.

Fault-tolerant replicated master using ZooKeeper;Scalability to 10,000s of nodes;Isolation between tasks with Linux Containers;Multi-resource scheduling (memory and CPU aware);Java, Python and C++ APIs for developing new parallel applications;Web UI for viewing cluster state
Create a container hosting solution optimized for Azure;Scale and orchestrate applications using Apache Mesos or Docker Swarm;Use popular open source, client-side tooling;Migrate container workloads to and from Azure without code changes
Statistics
GitHub Stars
5.3K
GitHub Stars
-
GitHub Forks
1.7K
GitHub Forks
-
Stacks
306
Stacks
97
Followers
418
Followers
214
Votes
31
Votes
11
Pros & Cons
Pros
  • 21
    Easy scaling
  • 6
    Web UI
  • 2
    Fault-Tolerant
  • 1
    High-Available
  • 1
    Elastic Distributed System
Cons
  • 1
    Depends on Zookeeper
  • 1
    Not for long term
Pros
  • 6
    Easy to setup, very agnostic
  • 3
    It supports Kubernetes, Mesos DC/OS and Docker Swarm
  • 2
    It has a nice command line interface (CLI) tool
Integrations
Apache Aurora
Apache Aurora
Docker Swarm
Docker Swarm
Docker
Docker

What are some alternatives to Apache Mesos, Azure Container Service?

Amazon EC2 Container Service

Amazon EC2 Container Service

Amazon EC2 Container Service lets you launch and stop container-enabled applications with simple API calls, allows you to query the state of your cluster from a centralized service, and gives you access to many familiar Amazon EC2 features like security groups, EBS volumes and IAM roles.

Google Kubernetes Engine

Google Kubernetes Engine

Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.

Containerum

Containerum

Containerum is built to aid cluster management, teamwork and resource allocation. Containerum runs on top of any Kubernetes cluster and provides a friendly Web UI for cluster management.

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.

DC/OS

DC/OS

Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.

Docker Cloud

Docker Cloud

Docker Cloud is the best way to deploy and manage Dockerized applications. Docker Cloud makes it easy for new Docker users to manage and deploy the full spectrum of applications, from single container apps to distributed microservices stacks, to any cloud or on-premises infrastructure.

Mesosphere

Mesosphere

Mesosphere offers a layer of software that organizes your machines, VMs, and cloud instances and lets applications draw from a single pool of intelligently- and dynamically-allocated resources, increasing efficiency and reducing operational complexity.

Amazon EKS

Amazon EKS

Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a managed service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.

Gardener

Gardener

Many Open Source tools exist which help in creating and updating single Kubernetes clusters. However, the more clusters you need the harder it becomes to operate, monitor, manage and keep all of them alive and up-to-date. And that is exactly what project Gardener focuses on.

instainer

instainer

InstaDocker is a Docker container hosting service which allows run any Docker container on the cloud instantly.

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