Apache Mesos vs YARN Hadoop: What are the differences?
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; YARN Hadoop: *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).
Apache Mesos and YARN Hadoop can be primarily classified as "Cluster Management" tools.
Airbnb, Netflix, and Twitter are some of the popular companies that use Apache Mesos, whereas YARN Hadoop is used by Grandata, Dstillery, and Marin Software. Apache Mesos has a broader approval, being mentioned in 61 company stacks & 19 developers stacks; compared to YARN Hadoop, which is listed in 8 company stacks and 3 developer stacks.
What is Apache Mesos?
What is YARN Hadoop?
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Built Mesos master/slave as a cluster among serveral cloud service providers, such as Amazon web services, Google cloud engine, Joyent Elastic Container, and AliCloud, and also personal desktop.
Bamboo + Marathon + Mesos (+ Docker) => awesome tool set to building PaaS.