NoSQL Systems for Big Data Management. Gudivada, V., Rao, D., & Raghavan, V. In 2014 IEEE World Congress on Services, pages 190-197, Los Alamitos, CA, USA, 2014. The IEEE Computer Society. abstract bibtex The advent of Big Data created a need for out-of-the-box horizontal scalability for data management systems. This ushered in an array of choices for Big Data management under the umbrella term NoSQL. In this paper, we provide a taxonomy and unified perspective on NoSQL systems. Using this perspective, we compare and contrast various NoSQL systems using multiple facets including system architecture, data model, query language, client API, scalability, and availability. We group current NoSQL systems into seven broad categories: Key-Value, Table-type/Column, Document, Graph, Native XML, Native Object, and Hybrid databases. We also describe application scenarios for each category to help the reader in choosing an appropriate NoSQL system for a given application. We conclude the paper by indicating future research directions.
@inproceedings{Gudivada2014RCa,
author = {V. Gudivada and D. Rao and V. Raghavan},
title = {NoSQL Systems for Big Data Management},
booktitle ={2014 IEEE World Congress on Services},
year = {2014},
pages = {190-197},
publisher = {The IEEE Computer Society},
address = {Los Alamitos, CA, USA},
abstract = {The advent of Big Data created a need for out-of-the-box horizontal scalability for data management systems. This ushered in an array of choices for Big Data management under the umbrella term NoSQL. In this paper, we provide a taxonomy and unified perspective on NoSQL systems. Using this perspective, we compare and contrast various NoSQL systems using multiple facets including system architecture, data model, query language, client API, scalability, and availability. We group current NoSQL systems into seven broad categories: Key-Value, Table-type/Column, Document, Graph, Native XML, Native Object, and Hybrid databases. We also describe application scenarios for each category to help the reader in choosing an appropriate NoSQL system for a given application. We conclude the paper by indicating future research directions.},
}
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