Hadoop Accelerator
Built to remove runtime bottlenecks in Hadoop’s Map-Reduce framework, this patent-pending product can provide up to 10x improvements in runtimes of Map-Reduce jobs which translates to about 80% TCO savings on AWS. For any job which requires large volumes of data transfers, sort/merge/codec phases of Map-Reduce can limit the speed-ups which Hadoop can provide. Beyond a point, throwing more nodes in the cluster doesn’t provide any more scaling. BigZetta’s Hadoop Accelerator, offloads runtime bottlenecks to FPGAs (installed on cloud or on-prem), thereby cutting down the turnaround time of MR job significantly.
