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  1. Amazon EMR (previously called Amazon Elastic MapReduce) is a managed cluster platform that simplifies running big data frameworks, such as Apache Hadoop and Apache Spark, on AWS to process and analyze vast amounts of data.

  2. Apache Hadoop is an open-source Java software framework that supports massive data processing across a cluster of instances. It can run on a single instance or thousands of instances.

  3. Amazon EMR - Distribute your data and processing across a Amazon EC2 instances using Hadoop. Hadoop - Open-source software for reliable, scalable, distributed computing.

  4. The combination of availability, durability, and scalability of processing makes Hadoop a natural fit for big data workloads. You can use Amazon EMR to create and configure a cluster of Amazon EC2 instances running Hadoop within minutes, and begin deriving value from your data.

  5. Compare Amazon EMR vs Hadoop. 328 verified user reviews and ratings of features, pros, cons, pricing, support and more.

  6. EMR is a collection of EC2 instances with Hadoop (and optionally Hive and/or Pig) installed and configured on them. If you are using your cluster for running Hadoop/Hive/Pig jobs, EMR is the way to go. An EMR instance costs a little bit extra as compared to an EC2 instance.

  7. Amazon EMR processes big data across a Hadoop cluster of virtual servers on Amazon Elastic Compute Cloud and Amazon Simple Storage Service (S3). The Elastic in EMR's name refers to its dynamic resizing ability, which enables administrators to increase or reduce resources, depending on their current needs.