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Proceedings ArticleDOI

A comparative study: MongoDB vs. MySQL

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TLDR
This paper focuses on one implementation of the NoSQL database technology, namely MongoDB, and makes a comparison with another implementation of relational databases, namely MySQL, and thus justifying why MongoDB is more efficient than MySQL.
Abstract
In this paper we will try to present a comparative study of non-relational databases and relational databases. We mainly focus our presentation on one implementation of the NoSQL database technology, namely MongoDB, and make a comparison with another implementation of relational databases, namely MySQL, and thus justifying why MongoDB is more efficient than MySQL. We will also present the advantages of using a non-relational database compared to a relational database, integrated in a forum in the field of personal and professional development. The NoSQL database used to develop the forum is MongoDB, and was chosen from a variety of non-relational databases, thanks to some aspects that we will highlight in this article. The database integration in the framework will also be presented.

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Citations
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LiReD: A Light-Weight Real-Time Fault Detection System for Edge Computing Using LSTM Recurrent Neural Networks

TL;DR: An edge device capable of collecting, processing, storing and analyzing data is constructed by using a single-board computer and a sensor and a fault detection model based on the LSTM recurrent neural networks showed the best performance among six fault detection models.
Proceedings ArticleDOI

A qualitative analysis of the performance of MongoDB vs MySQL database based on insertion and retriewal operations using a web/android application to explore load balancing — Sharding in MongoDB and its advantages

TL;DR: The need for NoSQL databases in the present situation is ascertained and advancement of document-oriented database — MongoDB in particular is emphasized by describing with a quantitative example that SQL databases are prone to deterioration when data is over loaded and MongoDB comes with inbuilt load balancer which makes it a better solution in applications with high data load.
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Efficient cloud service discovery approach based on LDA topic modeling

TL;DR: A self-adaptive semantic focused crawler based on Latent Dirichlet Allocation (LDA) for efficient Cloud service discovery and an ontology-learning function to automatically improve the proposed Cloud Service Ontology and maintain the crawler’s performance are proposed.
Journal ArticleDOI

A Comparative Study of Relational and Non-Relational Database Models in a Web- Based Application

TL;DR: The purpose of this paper is to present a comparative study between relational and non-relational database models in a web-based application, by executing various operations on both relational andNon-Relational databases thus highlighting the results obtained during performance comparison tests.
Journal ArticleDOI

LPWAN Based IoT Surveillance System for Outdoor Fire Detection

TL;DR: A low-cost Internet of Things (IoT) prototype for fire detection in outdoor environments based on sensors and Low Power Wide Area Network (LPWAN), focused on the accuracy in the temperature and gas measurement at the moment a fire starts.
References
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RDBMS to NoSQL: Reviewing Some Next-Generation Non-Relational Database's

TL;DR: The aim of this paper is to provide a better understand of the nonrelational database design, architecture and comparison between them and also identify important research directions in this increasingly NoSQL world.
Proceedings ArticleDOI

Using MongoDB to implement textbook management system instead of MySQL

TL;DR: This paper attempts to use NoSQL database to replace the relational database, applied to traditional information management systems, compare the two database technologies, give the key code of NoSQL implementation, and finally list the performance comparison of two schemes.
Journal ArticleDOI

Comparative Study of the New Generation, Agile, Scalable, High Performance NOSQL Databases

TL;DR: This paper discusses about problems with relation databases and how different types of NOSQL Databases are used to efficiently handle the real world problems.

SQL Support over MongoDB using Metadata

Sanobar Khan, +1 more
TL;DR: This paper attempts to use NoSQL database to replace the relational database, and makes a comparison with MySQL and justifies why MongoDB is preferred over MySQL, and a method is proposed to integrate these two types of database by adding a middleware between application layer and database layer.
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