MapReduce and YARN are both key components of the Hadoop ecosystem, but they serve different purposes and have different functionalities. Here's a breakdown of the main differences between MapReduce and YARN:
Functionality:
Resource Management:
Flexibility and Multi-Tenancy:
Compatibility:
In summary, MapReduce is a specific programming model and processing framework tailored for batch processing on large datasets, while YARN is a resource management and job scheduling framework that enables multi-tenancy and supports various processing frameworks beyond MapReduce. YARN's flexibility and scalability make it a critical component of the Hadoop ecosystem, allowing organizations to run diverse workloads on the same cluster efficiently.
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