NoSQL Database: New Era of Databases for Big data Analytics - Classification, Characteristics and Comparison

By A. Moniruzzaman, Syed Akhter Hossain. arXiv.org, 2013

463 citations recorded by the source corpus.

Digital world is growing very fast and become more complex in the volume (terabyte to petabyte), variety (structured and un-structured and hybrid), velocity (high speed in growth) in nature. This refers to as ‘Big Data’ that is a global phenomenon. This is typically considered to be a data collection that has grown so large it can’t be effectively managed or exploited using conventional data management tools: e.g., classic relational database management systems (RDBMS) or conventional search engines. To handle this problem, traditional RDBMS are complemented by specifically designed a rich set of alternative DBMS; such as - NoSQL, NewSQL and Search-based systems. This paper motivation is to provide - classification, characteristics and evaluation of NoSQL databases in Big Data Analytics. This report is intended to help users, especially to the organizations to obtain an independent understanding of the strengths and weaknesses of various NoSQL database approaches to supporting applications that process huge volumes of data.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/71e9a23138a5d7c35b28bd98fd616c81719b1b7a

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In Computer Networks and Communications

  1. Gui Yun Tian
  2. Yan Yan
  3. Kai Liu
  4. Arcadius Tokognon
  5. Bin Gao
  6. Zhenlong Li
  7. Chaowei Phil Yang
  8. Qunying Huang

In Information Systems

  1. Kai Liu
  2. Zhenlong Li
  3. Chaowei Phil Yang
  4. Qunying Huang
  5. Fei Hu

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