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Apache Aurora vs YARN Hadoop: What are the differences?
What is Apache Aurora? An Apcahe Mesos framework for scheduling jobs, originally developed by Twitter. 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.
What is 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 Aurora and YARN Hadoop can be primarily classified as "Cluster Management" tools.
Apache Aurora is an open source tool with 616 GitHub stars and 231 GitHub forks. Here's a link to Apache Aurora's open source repository on GitHub.
Grandata, Dstillery, and Marin Software are some of the popular companies that use YARN Hadoop, whereas Apache Aurora is used by Twitter, Oscar Health, and Medallia. YARN Hadoop has a broader approval, being mentioned in 8 company stacks & 3 developers stacks; compared to Apache Aurora, which is listed in 6 company stacks and 3 developer stacks.
Pros of Apache Aurora
Pros of YARN Hadoop
- Batch processing with commodity machine1
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What is Apache Aurora?
What is YARN Hadoop?
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What companies use Apache Aurora?
What companies use YARN Hadoop?
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What tools integrate with Apache Aurora?
What tools integrate with YARN Hadoop?
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