NoSQL Database Systems

Running head: DATABASE SYSTEMS
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Database Systems
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DATABASE SYSTEMS 2
Introduction
The NoSQL database technology provides a mechanism for storing and retrieving data
that has been modeled into a structure that does not symbolize any relational tabular. They are
mostly suitable where a large number of the voluminous amount of data need to be stored and
retrieved. The structure is not in a fixed schema and the scalability is easier, (Abramova,
Bernardino & Furtado, 2014).
Basic Category of NoSQL Database
The NoSQL database is usually classified into four main types of NoSQL databases
namely Key-value stores, wide column-based stores, document-based, and graph based.
A key value store usually uses a hash table where there is a specific key for each item in the data.
The wide column-based store usually depicts a structure where each block contains data of a
specific column. Data are usually stored in cell groups of columns instead of rows and are
commonly queried over a large dataset, (Thanh, Thuy, & Huynh, 2018).
The document-based store utilizes semi-structured data to store and record data. It pairs
each key with a complex data structure often referred to as the document. In graphical-based
database nodes and edges are used to store and retrieve data. The nodes are organized in such a
way that their relationship is represented by the use of edges between the nodes.
Difference between the categories
In key value, each data is stored singly with a specific identifier. Data are not grouped as
in the case document based database and column based store. In graph base, there is no table or
column representation can be transformed from one model to the other freely. The value key