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SQL and NoSQL Database Software Architecture Performance Analysis and Assessments—A Systematic Literature Review

open access: yesBig Data and Cognitive Computing, 2023
The competent software architecture plays a crucial role in the difficult task of big data processing for SQL and NoSQL databases. SQL databases were created to organize data and allow for horizontal expansion. NoSQL databases, on the other hand, support
Wisal Khan   +5 more
doaj   +4 more sources

When Relational-Based Applications Go to NoSQL Databases: A Survey

open access: yesInformation, 2019
Several data-centric applications today produce and manipulate a large volume of data, the so-called Big Data. Traditional databases, in particular, relational databases, are not suitable for Big Data management.
Geomar A. Schreiner   +2 more
doaj   +4 more sources

A Comprehensive Spark-Based Layer for Converting Relational Databases to NoSQL

open access: yesBig Data and Cognitive Computing, 2022
Currently, the continuous massive growth in the size, variety, and velocity of data is defined as big data. Relational databases have a limited ability to work with big data.
Manal A. Abdel-Fattah   +2 more
doaj   +2 more sources

UniqueNOSD: a novel framework for NoSQL over SQL databases [PDF]

open access: yesJournal of Big Data
To date, most large corporations still have their core solutions on relational databases but only use non-relational (i.e. NoSQL) database management systems (DBMS) for their non-core systems that favour availability and scalability through partitioning ...
Abdulrauf A. Gidado, C. I. Ezeife
doaj   +2 more sources

State-of-the-Art Geospatial Information Processing in NoSQL Databases

open access: yesISPRS International Journal of Geo-Information, 2020
Geospatial information has been indispensable for many application fields, including traffic planning, urban planning, and energy management. Geospatial data are mainly stored in relational databases that have been developed over several decades, and ...
Dongming Guo, Erling Onstein
doaj   +3 more sources

Performance Evaluation of NoSQL Document Databases: Couchbase, CouchDB, and MongoDB

open access: yesAlgorithms, 2023
NoSQL document databases emerged as an alternative to relational databases for managing large volumes of data. NoSQL document databases ensure big data storage and good query performance and are essential when the data scheme does not fit into the scheme
Inês Carvalho   +2 more
doaj   +3 more sources

An Introduction of NoSQL Databases Based on Their Categories and Application Industries

open access: yesAlgorithms, 2019
The popularization of big data makes the enterprise need to store more and more data. The data in the enterprise’s database must be accessed as fast as possible, but the Relational Database (RDB) has the speed limitation due to the join operation ...
Jeang-Kuo Chen, Wei-Zhe Lee
doaj   +3 more sources

The MongoDB injection dataset: A comprehensive collection of MongoDB - NoSQL injection attempts and vulnerabilities [PDF]

open access: yesData in Brief
We present the ‘NoSQL Injection Dataset for MongoDB, a comprehensive collection of data obtained from diverse projects focusing on NoSQL attacks on MongoDB databases.In the present era, we can classify databases into three main types: structured, semi ...
Rameshwar D․ L․   +3 more
doaj   +2 more sources

Creation of column-oriented NoSQL databases automatically in Big Data environments and its impact on energy consumption [PDF]

open access: yesE3S Web of Conferences, 2023
This study investigates the automatic creation of column-oriented NoSQL databases in Big Data environments and their impact on energy consumption. Traditional row-oriented databases face limitations in handling large volumes of data, resulting in slower ...
Elotmani Fouad   +2 more
doaj   +1 more source

Privacy-Breaching Patterns in NoSQL Databases

open access: yesIEEE Access, 2021
NoSQL databases disrupted the database market when first introduced. Their contemporary relevance has increased further in the era of big data due to the demands placed on (real-time) analytics.
Kanika Goel, Arthur H. M. Ter Hofstede
doaj   +1 more source

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