In the Big Data universe, Hadoop and Spark are frequently hollowed against each other as immediate contenders. When choosing which of these two frameworks is appropriate for your association, it's imperative to know about their basic contrasts and similitudes. Both have a considerable lot of similar uses; however, they utilize extraordinarily unique ways to deal with tackling big data issues. Due to these distinctions, there are times when it may be prescribed to utilize one versus the other. What’s Hadoop? Hadoop is an open source framework which permits to store and process big data, in an appropriated situation across bunches of PCs. It uses a basic programming model to play out the required activity among groups. Hadoop is intended to scale up from a solitary server to a huge number of machines, where each machine is putting forth neighborhood calculation and capacity. All modules in Hadoop have planned with a crucial supposition that equipment disappointments...