Need advice about which tool to choose?Ask the StackShare community!

DC/OS

107
175
+ 1
12
YARN Hadoop

108
76
+ 1
1
Add tool

DC/OS vs YARN Hadoop: What are the differences?

Developers describe DC/OS as "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. On the other hand, YARN Hadoop is detailed as "*Resource management and job scheduling technology *". 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).

DC/OS and YARN Hadoop can be primarily classified as "Cluster Management" tools.

DC/OS is an open source tool with 2.17K GitHub stars and 458 GitHub forks. Here's a link to DC/OS's open source repository on GitHub.

According to the StackShare community, DC/OS has a broader approval, being mentioned in 19 company stacks & 12 developers stacks; compared to YARN Hadoop, which is listed in 8 company stacks and 3 developer stacks.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of DC/OS
Pros of YARN Hadoop
  • 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
  • 1
    Batch processing with commodity machine

Sign up to add or upvote prosMake informed product decisions

No Stats
- No public GitHub repository available -

What is DC/OS?

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

What is 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).

Need advice about which tool to choose?Ask the StackShare community!

Jobs that mention DC/OS and YARN Hadoop as a desired skillset
What companies use DC/OS?
What companies use YARN Hadoop?
See which teams inside your own company are using DC/OS or YARN Hadoop.
Sign up for StackShare EnterpriseLearn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with DC/OS?
What tools integrate with YARN Hadoop?

Blog Posts

Mar 24 2021 at 12:57PM

Pinterest

GitJenkinsKafka+7
3
1821
What are some alternatives to DC/OS and YARN Hadoop?
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.
Apache Mesos
Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.
Docker
The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere
OpenStack
OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface.
Marathon
Marathon is an Apache Mesos framework for container orchestration. Marathon provides a REST API for starting, stopping, and scaling applications. Marathon is written in Scala and can run in highly-available mode by running multiple copies. The state of running tasks gets stored in the Mesos state abstraction.
See all alternatives