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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.
Pros of Apache Mesos
- Easy scaling21
- Web UI6
- Fault-Tolerant2
- Elastic Distributed System1
- High-Available1
Pros of YARN Hadoop
- Batch processing with commodity machine1
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Cons of Apache Mesos
- Not for long term1
- Depends on Zookeeper1
Cons of YARN Hadoop
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What is Apache Mesos?
What is YARN Hadoop?
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What companies use YARN Hadoop?
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What tools integrate with Apache Mesos?
What tools integrate with YARN Hadoop?
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