IBM Ramps Up Apache Spark at SC15

“What we’re previewing here today is a capability to have an overarching software, resource scheduler and workflow manager that takes all of these disparate sources and unifies them into a single view, making hundreds or thousands of computers look like one, and allowing you to run multiple instances of Spark. We have a very strong Spark multitenancy capability, so you can run multiple instances of Spark simultaneously, and you can run different versions of Spark, so you don’t obligate your organization to upgrade in lockstep.”