Almost all big data jobs these days are launched as a query using any of the higher level abstraction query languages (Hive, Pig, Impala, Presto etc.). Turn-around times of these queries are super critical to data-analysts across all domains. Unfortunately, throwing more CPUs at it simply does not scale beyond a point. BigZetta is harnessing power of FPGAs to re-design most popular query processing tools so that heavy load of computation is performed by hardware accelerators. Use of dedicated hardware to run kernels of queries can provide orders of magnitude faster turn-around times, thereby, enabling use of big data tools for low-latency-analytical-processing jobs.