At BigZetta Systems, we know that optimal use of hardware resources is key to your success. We are committed to providing acceleration for your mission critical computations which will enable you to finish tasks quickly as well as save on hardware cost. Speed and cost are the top-most careabouts for any application running in datacenters (on-prem or cloud). With CPU speeds reaching their limits, there is a pressing need to look for alternatives to accelerate big-data computations. The strong emergence of GPUs and FPGAs provides choices to application developers to off-load runtime intensive operations. Unfortunately, most of the existing applications or tools were designed around CPUs. This limits the speed-ups an application can achieve through selective off-loading. File, disk and network I/O restrict and cut the runtime gains. The need is to redesign tools and applications to optimally partition workloads and data communication among heterogenous devices (CPUs, GPUs, FPGAs) taking I/O bottle-necks into consideration from the start. BigZetta has identified this problem and is working on re-designing popular big-data tools to benefit from heterogenous choices available in modern datacenters.