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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Virtualization Platform
  5. DC/OS vs VMware vSphere

DC/OS vs VMware vSphere

OverviewComparisonAlternatives

Overview

VMware vSphere
VMware vSphere
Stacks608
Followers550
Votes30
DC/OS
DC/OS
Stacks109
Followers180
Votes12
GitHub Stars2.4K
Forks488

DC/OS vs VMware vSphere: What are the differences?

DC/OS: The Datacenter Operating System. The easiest way to run microservices, big data, and containers in production. Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications; VMware vSphere: Free bare-metal hypervisor that virtualizes servers so you can consolidate your applications on less hardware. vSphere is the world’s leading server virtualization platform. Run fewer servers and reduce capital and operating costs using VMware vSphere to build a cloud computing infrastructure.

DC/OS can be classified as a tool in the "Cluster Management" category, while VMware vSphere is grouped under "Virtualization Platform".

Some of the features offered by DC/OS are:

  • High Resource Utilization
  • Mixed Workload Colocation
  • Container Orchestration

On the other hand, VMware vSphere provides the following key features:

  • Powerful Server Virtualization
  • Network Services
  • Efficient Storage

"Easy to setup a HA cluster" is the top reason why over 4 developers like DC/OS, while over 6 developers mention "Strong host isolation" as the leading cause for choosing VMware vSphere.

DC/OS is an open source tool with 2.16K GitHub stars and 451 GitHub forks. Here's a link to DC/OS's open source repository on GitHub.

According to the StackShare community, VMware vSphere has a broader approval, being mentioned in 55 company stacks & 23 developers stacks; compared to DC/OS, which is listed in 19 company stacks and 12 developer stacks.

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Detailed Comparison

VMware vSphere
VMware vSphere
DC/OS
DC/OS

vSphere is the world’s leading server virtualization platform. Run fewer servers and reduce capital and operating costs using VMware vSphere to build a cloud computing infrastructure.

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

Powerful Server Virtualization;Network Services;Efficient Storage;Consistent Automation;High Availability;Robust Security
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
608
Stacks
109
Followers
550
Followers
180
Votes
30
Votes
12
Pros & Cons
Pros
  • 8
    Strong host isolation
  • 6
    Industry leader
  • 5
    Great VM management (HA,FT,...)
  • 4
    Easy to use
  • 2
    Feature rich
Cons
  • 9
    Price
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 VMware vSphere, DC/OS?

VirtualBox

VirtualBox

VirtualBox is a powerful x86 and AMD64/Intel64 virtualization product for enterprise as well as home use. Not only is VirtualBox an extremely feature rich, high performance product for enterprise customers, it is also the only professional solution that is freely available as Open Source Software under the terms of the GNU General Public License (GPL) version 2.

Proxmox VE

Proxmox VE

It is a complete open-source platform for all-inclusive enterprise virtualization that tightly integrates KVM hypervisor and LXC containers, software-defined storage and networking functionality on a single platform, and easily manages high availability clusters and disaster recovery tools with the built-in web management interface.

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.

KVM

KVM

KVM (for Kernel-based Virtual Machine) is a full virtualization solution for Linux on x86 hardware containing virtualization extensions (Intel VT or AMD-V).

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.

Qemu

Qemu

When used as a machine emulator, it can run OSes and programs made for one machine (e.g. an ARM board) on a different machine (e.g. your own PC). By using dynamic translation, it achieves very good performance. When used as a virtualizer, it achieves near native performance by executing the guest code directly on the host CPU. it supports virtualization when executing under the Xen hypervisor or using the KVM kernel module in Linux. When using KVM, it can virtualize x86, server and embedded PowerPC, 64-bit POWER, S390, 32-bit and 64-bit ARM, and MIPS guests.

Parallels Desktop

Parallels Desktop

Parallels Desktop for Mac allows you to seamlessly run both Windows and MacOS applications side-by-side with speed, control and confidence.

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).

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