Authors: Anita Brigit Mathew; S.D. Madhu Kumar
Addresses: Department of Computer Science and Engineering, National Institute of Technology, Calicut, Kerala, India ' Department of Computer Science and Engineering, National Institute of Technology, Calicut, Kerala, India
Abstract: A new database model called NoSQL plays a vital role in BigData analytics. NoSQL databases are non-relational open source data stores, which have employed massively scaled web site scenarios and upgraded in better performance by retrieving multiple data sets from commodity machines. NoSQL databases can be a hybrid mix of different databases based on specific use case applications. In this paper, we focus on four different NoSQL databases used by social networking sites. Their features are compared and analysed. These features are compared for the sub categories of the four NoSQL databases for fast querying from social networks. In the detailed analysis presented, the features like data storage and fast retrieval phase of query processing are given primary importance. We also present a comparison of the time taken during insert and read operations of social network data of Facebook. The results are compared and most suitable database from NoSQL graph database subcategories for insert and read operations in Facebook is identified.
Keywords: NoSQL databases; key value stores; document stores; column family stores; graph databases; social networks; Facebook; query processing; big data analytics; open source data stores; open source data stores; SNS; insert and read operations.
International Journal of Reasoning-based Intelligent Systems, 2015 Vol.7 No.3/4, pp.330 - 338
Received: 01 Dec 2014
Accepted: 15 May 2015
Published online: 09 Nov 2015 *