Comprehensive Analysis of Cloud based Databases

With standard change in the computing architecture and distributed, wide range processing approach leverage the large data to be analyzed and extract the content. The recent advancement in Web technology enables the user to produce process and ingest content of any structure. Cloud computing helps to provide computing infrastructure, centralized storage and seamless services for organizations and users. In a digital world, data is core aspect of the economy, become part of government, enterprise, social sectors and every individual in a day to day life. Data analysis is gathering of strength in both research and production communities. There are many social networking sites, web, enterprise and IoT data require being stored in secured, centralized data store. It also demands data to be stored without any predefined schema and able to retrieve in near real time. When demand goes up application needs to be scaled to sustain for the demand. Similarly, data store should support scalability to support applications demand. Cloud providers and third-party organization offers numerous data storage, database options. This article highlights various available data storage options, suitability and limitations.

[1]  Shraddha Jadhav,et al.  Moving Towards Non-Relational Databases , 2010 .

[2]  Kumud Wasnik,et al.  Comparison of SQL, NoSQL and NewSQL databases for internet of things , 2016, 2016 IEEE Bombay Section Symposium (IBSS).

[3]  Shelly Sachdeva,et al.  NoSQL databases: Critical analysis and comparison , 2017, 2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN).

[4]  Rabi Prasad Padhy,et al.  RDBMS to NoSQL: Reviewing Some Next-Generation Non-Relational Database's , 2011 .

[5]  J. Chris Anderson,et al.  CouchDB: The Definitive Guide , 2010 .

[6]  Charles T. Meadow History of databases , 1987, J. Am. Soc. Inf. Sci..

[7]  Xhemal Zenuni,et al.  Comparison between relational and NOSQL databases , 2018, 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

[8]  K. B. Sundhara Kumar,et al.  A performance comparison of document oriented NoSQL databases , 2017, 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP).

[9]  S. Gyan,et al.  “Globally Recorded binary encoded Domain Compression algorithm in Column Oriented Databases” , 2012 .

[10]  Sathiamoorthy Manoharan,et al.  A performance comparison of SQL and NoSQL databases , 2013, 2013 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM).

[11]  Daniel M. Batista,et al.  A Survey of Large Scale Data Management Approaches in Cloud Environments , 2011, IEEE Communications Surveys & Tutorials.

[12]  Malgorzata Plechawska-Wojcik,et al.  Comparative Analysis of Relational and Non-relational Databases in the Context of Performance in Web Applications , 2017, BDAS.