The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions.
Amazon EMR offers flexibility and scalability by providing resizable clusters and features like Apache Hudi for change data capture. It supports applications such as Splunk, Livy, Hadoop, and Spark, enhancing big data management. Notable for processing speed and security, it also faces challenges with cluster configuration, scaling costs, and setup time. Compatibility issues with versions and the need for better data storage in static clusters highlight areas for improvement.
