Crucially, those various processing models can all be run on a single shared-use cluster of machines, all accessing the same files on the distributed filesystem. In the Hadoop approach, there is no need to import the data into several different specialized systems for different kinds of processing: the system is flexible enough to support a diverse set of workloads within the same cluster. Not having to move data around makes it a lot easier to derive value from the data, and a lot easier to experiment with new processing models.
