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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cluster Management
  5. Apache Mesos vs DC/OS

Apache Mesos vs DC/OS

OverviewComparisonAlternatives

Overview

Apache Mesos
Apache Mesos
Stacks306
Followers418
Votes31
GitHub Stars5.3K
Forks1.7K
DC/OS
DC/OS
Stacks109
Followers180
Votes12
GitHub Stars2.4K
Forks488

Apache Mesos vs DC/OS: What are the differences?

Introduction

Apache Mesos and DC/OS are two popular distributed systems platforms used for managing large-scale data centers and running containerized applications. While both platforms offer similar functionality, there are key differences that differentiate them.

  1. Architecture: The architecture of Apache Mesos is based on a master-slave design, where a Mesos master node manages Mesos slave nodes. In contrast, DC/OS builds on top of Mesos and provides additional features like service discovery, load balancing, and multi-tenancy. It introduces the concept of a DC/OS master, which coordinates multiple Mesos masters, making it more powerful and flexible for enterprise deployments.

  2. User Interface: Apache Mesos primarily provides a command-line interface (CLI) and a web-based user interface (UI) called the Mesos web UI. On the other hand, DC/OS offers a more advanced web-based UI, the DC/OS dashboard, which provides a visually rich user experience, making it easier to navigate through the system and manage applications.

  3. Application Management: Mesos focuses on managing and scheduling tasks and frameworks, providing a flexible framework for deploying applications. DC/OS, being built on top of Mesos, enhances application management by providing extended capabilities like app deployment, rolling upgrades, and scaling, making it easier to manage and monitor applications.

  4. Service Management: DC/OS goes beyond Mesos' native functionality and offers more advanced service management capabilities. It introduces service definitions and allows users to deploy and manage services as first-class citizens, providing a declarative and easy way to create and manage long-running services.

  5. Package Management: DC/OS includes a built-in package manager called the DC/OS Universe, which allows users to install and manage applications or services from a marketplace-like repository. In contrast, Apache Mesos does not have built-in package management, requiring users to manually manage and install applications.

  6. Enterprise Features: DC/OS caters more towards enterprise needs by providing additional features like fine-grained ACL-based multi-tenancy, security, and high availability. It offers advanced authentication and authorization mechanisms, allowing enterprises to enforce secure access control and management policies.

In summary, Apache Mesos provides a foundational layer for resource management and scheduling, while DC/OS builds on top of Mesos and provides additional features like advanced user interface, application and service management, package management, and enterprise-grade features.

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Manual

Detailed Comparison

Apache Mesos
Apache Mesos
DC/OS
DC/OS

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

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

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
High Resource Utilization;Mixed Workload Colocation;Container Orchestration;Resource Isolation;Stateful Storage;Package Repositories;Public Cloud;Private Cloud;On-Premise;Command Line Interface;Web Interface;Elastic Scalability;High Availability;Zero Downtime Upgrades;Service Discovery;Load Balancing;Production-Ready
Statistics
GitHub Stars
5.3K
GitHub Stars
2.4K
GitHub Forks
1.7K
GitHub Forks
488
Stacks
306
Stacks
109
Followers
418
Followers
180
Votes
31
Votes
12
Pros & Cons
Pros
  • 21
    Easy scaling
  • 6
    Web UI
  • 2
    Fault-Tolerant
  • 1
    High-Available
  • 1
    Elastic Distributed System
Cons
  • 1
    Not for long term
  • 1
    Depends on Zookeeper
Pros
  • 5
    Easy to setup a HA cluster
  • 3
    Open source
  • 2
    Has templates to install via AWS and Azure
  • 1
    Easy Setup
  • 1
    Easy to get services running and operate them
Integrations
Apache Aurora
Apache Aurora
No integrations available

What are some alternatives to Apache Mesos, DC/OS?

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.

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.

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.

YARN Hadoop

YARN Hadoop

Its fundamental idea is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM).

kops

kops

It helps you create, destroy, upgrade and maintain production-grade, highly available, Kubernetes clusters from the command line. AWS (Amazon Web Services) is currently officially supported, with GCE in beta support , and VMware vSphere in alpha, and other platforms planned.

Apache Aurora

Apache Aurora

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.

Elastic Apache Mesos

Elastic Apache Mesos

Elastic Apache Mesos is a web service that automates the creation of Apache Mesos clusters on Amazon Elastic Compute Cloud (EC2). It provisions EC2 instances, installs dependencies including Apache ZooKeeper and HDFS, and delivers you a cluster with all the services running.

Peloton

Peloton

A Unified Resource Scheduler to co-schedule mixed types of workloads such as batch, stateless and stateful jobs in a single cluster for better resource utilization. Designed for web-scale companies with millions of containers and tens of thousands of nodes.

Kocho

Kocho

Kocho provides a set of mechanisms to bootstrap AWS nodes that must follow a specific configuration with CoreOS. It sets up fleet meta-data, and patched versions of fleet, etcd, and docker when using Yochu.

Warewulf

Warewulf

It is an operating system provisioning platform for Linux that is designed to produce secure, scalable, turnkey cluster deployments that maintain flexibility and simplicity.

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