NOSQL DATABASES: YEARNING FOR DISAMBIGUATION Chaimae Asaad Alqualsadi, Rabat IT Center, ENSIAS, University Mohammed V in Rabat and TicLab, International University of Rabat, Morocco
[email protected] Karim Baïna Alqualsadi, Rabat IT Center, ENSIAS, University Mohammed V in Rabat, Morocco
[email protected] Mounir Ghogho TicLab, International University of Rabat Morocco
[email protected] March 17, 2020 ABSTRACT The demanding requirements of the new Big Data intensive era raised the need for flexible storage systems capable of handling huge volumes of unstructured data and of tackling the challenges that arXiv:2003.04074v2 [cs.DB] 16 Mar 2020 traditional databases were facing. NoSQL Databases, in their heterogeneity, are a powerful and diverse set of databases tailored to specific industrial and business needs. However, the lack of the- oretical background creates a lack of consensus even among experts about many NoSQL concepts, leading to ambiguity and confusion. In this paper, we present a survey of NoSQL databases and their classification by data model type. We also conduct a benchmark in order to compare different NoSQL databases and distinguish their characteristics. Additionally, we present the major areas of ambiguity and confusion around NoSQL databases and their related concepts, and attempt to disambiguate them. Keywords NoSQL Databases · NoSQL data models · NoSQL characteristics · NoSQL Classification A PREPRINT -MARCH 17, 2020 1 Introduction The proliferation of data sources ranging from social media and Internet of Things (IoT) to industrially generated data (e.g. transactions) has led to a growing demand for data intensive cloud based applications and has created new challenges for big-data-era databases.