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Research Article Open Access
Big Data has become a known buzzword to public at large which represents huge amount of data in terabytes. Processing such huge data is not possible with conventional environments. Therefore new environments came into existence with data centers and distributed file systems. Hadoop is a well known framework for processing big data using its new programming model known as MapReduce. However, later on many improvements came into existence with the help of other frameworks such as Sailfish, Haloop and AROM besides many other frameworks. In this paper we focused on the three important frameworks such as Sailfish, Haloop and AROM in terms of their performance and characteristics such as Velocity, Volume and Variety. This paper provides insights into big data processing that can help reader to have fundamental knowledge about Big Data, processing it and advantages derived from big data.