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

DC/OS vs Elastic Apache Mesos

OverviewComparisonAlternatives

Overview

Elastic Apache Mesos
Elastic Apache Mesos
Stacks5
Followers12
Votes0
DC/OS
DC/OS
Stacks109
Followers180
Votes12
GitHub Stars2.4K
Forks488

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

## Introduction

Elastic Apache Mesos and DC/OS are both popular platforms for managing containerized workloads. While they both leverage Apache Mesos, there are key differences between them that cater to different needs and preferences of users.

1. **Architecture**: DC/OS is a comprehensive platform that includes a range of services such as Marathon for container orchestration, Metronome for job scheduling, and Universe for package management. On the other hand, Elastic Apache Mesos is a minimalistic framework that focuses solely on Apache Mesos for container orchestration without bundling additional services.
   
2. **Ease of Use**: DC/OS provides a user-friendly interface that simplifies the management of clusters, applications, and resources through a graphical user interface. In contrast, Elastic Apache Mesos typically requires a higher level of expertise to configure and manage as it offers more flexibility but at the cost of complexity.
   
3. **Scalability**: DC/OS is designed to scale seamlessly across thousands of nodes, making it suitable for large-scale environments with high resource demands. In comparison, Elastic Apache Mesos can also handle scalability but may require more manual configuration and tuning to achieve the same level of performance as DC/OS.
   
4. **Vendor Support**: DC/OS is backed by the company D2iQ (formerly Mesosphere), which offers commercial support, training, and consulting services for enterprises using the platform. On the contrary, Elastic Apache Mesos is more community-driven, relying on user contributions and open-source development with limited commercial backing.
   
5. **Integration Ecosystem**: DC/OS comes with an extensive ecosystem of integrated tools and services that can be easily deployed and managed within the platform, such as databases, messaging systems, and monitoring tools. Elastic Apache Mesos, being more lightweight, may lack the same level of ready-to-use integrations and may require more manual setup and configuration.
   
6. **Cost**: DC/OS, being a comprehensive platform with commercial support options, typically involves higher costs for enterprise deployments. Elastic Apache Mesos, being more community-driven and minimalist, can be a more cost-effective option for organizations looking to manage containerized workloads on a budget.

In Summary, DC/OS offers a comprehensive platform with integrated services, scalability, and vendor support, while Elastic Apache Mesos provides a more minimalist and customizable approach with a focus on Apache Mesos alone, suitable for users who prioritize flexibility and cost-effectiveness over convenience and additional features.

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Detailed Comparison

Elastic Apache Mesos
Elastic Apache Mesos
DC/OS
DC/OS

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.

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

You just pay for your EC2 instances, Elastic Apache Mesos costs you nothing, nada, zilch on top of that.
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
-
GitHub Stars
2.4K
GitHub Forks
-
GitHub Forks
488
Stacks
5
Stacks
109
Followers
12
Followers
180
Votes
0
Votes
12
Pros & Cons
No community feedback yet
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
No integrations available
Apache Mesos
Apache Mesos

What are some alternatives to Elastic 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.

Apache Mesos

Apache Mesos

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

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).

Atmosly

Atmosly

AI-powered Kubernetes platform for developers & DevOps. Deploy applications without complexity, with intelligent automation and one-click environments.

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.

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.

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