No SQL Database Management Systems for Big Data

It is well known that, at the present, a huge amount of information, often referred as Big Data, is processed by each domain of modern society. Big data are well defined by the seven dimensions: Volume, Velocity, Variety, Variability, Veracity, Visualization and Value. The traditional database management systems cannot handle the requirements of high availability, scalability and reliability emerged with Big Data. The good news is that we are now in the age of NoSQL databases. NoSQL do not have a fixed structure, they have a flexible structure and are suited for storing unstructured data produced in a large scale in various field. This work outlines the four main types of NoSQL databases and presents some of their representative solutions.

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A Comparative Study of Unstructured Data with SQL and NO-SQL Database Management Systems

Journal of Computer and Communications ◽

10.4236/jcc.2020.84005 ◽

2020 ◽

Vol 08 (04) ◽

pp. 59-71 ◽

Cited By ~ 1

Author(s):

Ahsan Malik ◽

Aqil Burney ◽

Fawad Ahmed

Keyword(s):

Comparative Study ◽

Database Management ◽

Database Management Systems ◽

Unstructured Data ◽

Management Systems ◽

Sql Database

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Comparative Case Study Difference Between Azure Cloud SQL and Mongo Atlas MongoDB NoSQL Database

International Journal of Emerging Trends in Engineering Research ◽

10.30534/ijeter/2021/26972021 ◽

2021 ◽

Vol 9 (7) ◽

pp. 999-1002

Keyword(s):

Relational Database ◽

Database Management ◽

Database Management Systems ◽

Management Systems ◽

Comparative Case Study ◽

Nosql Databases ◽

Nosql Database ◽

Relational Database Management ◽

Relational Database Management Systems

Azure SQL and Atlas Mongodb NoSQL(Azure instance) databases are the most popular, systematic process to database solutions. Which Azure SQL database is also referred to as RDBMS (Relational Database Management Systems). The data are structured into tables or associations. The Atlas Mongodb NoSQL database is called a non-relational database management systems. The data are included in unstructured tables or associations. In this research, evaluate both the Azure SQL and Atlas Mongodb NoSQL databases. During the experiment compare the loading time, response time, and retrieval time of both Azure SQL and Atlas Mongodb NoSQL databases, and justify which one is fast, efficient and better performance.

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Fast Image Index for Database Management Engines

Journal of Artificial Intelligence and Soft Computing Research ◽

10.2478/jaiscr-2020-0008 ◽

2020 ◽

Vol 10 (2) ◽

pp. 113-123 ◽

Cited By ~ 2

Author(s):

Rafał Grycuk ◽

Patryk Najgebauer ◽

Miroslaw Kordos ◽

Magdalena M. Scherer ◽

Alina Marchlewska

Keyword(s):

Data Structure ◽

Relational Database ◽

Database Management ◽

Large Scale ◽

Local Features ◽

Database Management Systems ◽

Local Feature ◽

Management Systems ◽

Image Descriptor ◽

Benchmark Datasets

AbstractLarge-scale image repositories are challenging to perform queries based on the content of the images. The paper proposes a novel, nested-dictionary data structure for indexing image local features. The method transforms image local feature vectors into two-level hashes and builds an index of the content of the images in the database. The algorithm can be used in database management systems. We implemented it with an example image descriptor and deployed in a relational database. We performed the experiments on two image large benchmark datasets.

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