Describing and comparing Big Data querying tools

Abstract

In the past years, Big Data has become a hot topic across several business areas. One of the main concerns regarding this concept is how to handle the massive volume and variety of data efficiently. Due to the notorious complexity of the data associated to the Big Data concept, usually motivated by data volume, efficient querying analysis mechanisms are mandatory for data analysis purposes. Motivated by the rapidly development of tools and frameworks for Big Data, there is much discussion about querying tools and, specifically, those more appropriated for specific analytical needs. This paper explores some of the available querying tools, describing and comparing their main characteristics and architectures, crucial knowledge for selecting the more appropriate ones for inclusion in a specific Big Data analytical architecture.