Parallelisms between relational and non-relational databases (a security approach)

Databases were born as a tool for standardized storage in applications, with technological advance it arises different approaches of how to relate the data that is stored on them. Comparing two technologies with the same purpose, but with a different philosophy, can help to understand why each one w...

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Authors: Chingo Esquivel, Washington, López Sevilla , Galo
Format: article
Status:Published version
Publication Date:2021
Country:México
Institution:UNIVERSIDAD DE GUADALAJARA
Repository:ReCIBE. Revista Electrónica de Computación, Informática, Biomédica y Electrónica
Language:Spanish
OAI Identifier:oai:ojs.recibe.cucei.udg.mx:article/189
Online Access:http://recibe.cucei.udg.mx/index.php/ReCIBE/article/view/189
Access Level:Open access
Keyword:Information Security
Databases
Relational Databases
Non-Relational Databases
PostgreSQL
MongoDB
Seguridad de la información
Bases de Datos
Bases de Datos Relacionales
Bases de Datos No Relacionales
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spelling Parallelisms between relational and non-relational databases (a security approach)Paralelismos entre bases de datos relacionales y no relacionales (un enfoque en seguridad)Chingo Esquivel, WashingtonLópez Sevilla , GaloInformation SecurityDatabasesRelational DatabasesNon-Relational DatabasesPostgreSQLMongoDBSeguridad de la informaciónBases de DatosBases de Datos RelacionalesBases de Datos No RelacionalesPostgreSQLMongoDBDatabases were born as a tool for standardized storage in applications, with technological advance it arises different approaches of how to relate the data that is stored on them. Comparing two technologies with the same purpose, but with a different philosophy, can help to understand why each one was conceived; and have a better perspective on how they can be complemented and improved, through different practices. Despite there are different comparative studies on relational and non-relational databases, all based on performance and not in security perspective. The study aims to compare the securities in relational and non-relational databases in order to find differences and similarities between relational and non-relational databases. The comparative methodology, which is carried out with servers in the cloud, provides an appropriate environment to carry out the experiment between two well-known and open-access databases PostgreSQL and MongoDB, the first being a type of relational base and the second is an non-relational (NoSql), to generate as a result a comparison that is disseminated in the community scientific.Las bases de datos nacen como una herramienta para el almacenamiento estandarizado en las aplicaciones, con el avance tecnológico surgen diferentes enfoques a la forma de relacionar los datos que se almacenan en las mismas. Comparar dos tecnologías con una misma finalidad, pero con diferente filosofía puede ayudar a comprender de mejor manera para que fue concebida cada una; y tener una mejor perspectiva sobre cómo se pueden complementar y mejorar, a través de distintas prácticas. A pesar de existir diferentes estudios comparativos sobre las bases de datos relacionales y no relacionales, todos se basan en el rendimiento y no en la seguridad. El estudio tiene como objetivo comparar las seguridades en bases de datos relacionales y no relacionales con la finalidad de encontrar diferencias y similitudes entre bases de datos relacionales y no relacionales .La metodología de comparación, se realiza con servidores en la nube aporta un ambiente apropiado para realizar el experimento entre dos bases de datos muy conocidas y de acceso libre PostgreSQL y MongoDB, siendo la primera un tipo de base relacional y la segunda no relacional (NoSql), para generar como resultado una comparativa que se difunda en la comunidad científica.Universidad de Guadalajara2021-11-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://recibe.cucei.udg.mx/index.php/ReCIBE/article/view/18910.32870/recibe.v10i2.189ReCIBE, electronic journal of Computing, Informatics, Biomedical and Electronics; Vol. 10 No. 2 (2021): Nov 2021 - Abr 2022; C1-16ReCIBE, Revista electrónica de Computación, Informática, Biomédica y Electrónica; Vol. 10 Núm. 2 (2021): Nov 2021 - Abr 2022; C1-162007-544810.32870/recibe.v10i2reponame:ReCIBE. Revista Electrónica de Computación, Informática, Biomédica y Electrónicainstname:UNIVERSIDAD DE GUADALAJARAinstacron:UDGspahttp://recibe.cucei.udg.mx/index.php/ReCIBE/article/view/189/17710.32870/recibe.v10i2.189.g177Derechos de autor 2021 ReCIBE, Revista electrónica de Computación, Informática, Biomédica y Electrónicahttps://creativecommons.org/licenses/by-nc-sa/2.5/mx/deed.es_ESinfo:eu-repo/semantics/openAccessoai:ojs.recibe.cucei.udg.mx:article/1892024-08-20T03:40:52Z
dc.title.none.fl_str_mv Parallelisms between relational and non-relational databases (a security approach)
Paralelismos entre bases de datos relacionales y no relacionales (un enfoque en seguridad)
title Parallelisms between relational and non-relational databases (a security approach)
spellingShingle Parallelisms between relational and non-relational databases (a security approach)
Chingo Esquivel, Washington
Information Security
Databases
Relational Databases
Non-Relational Databases
PostgreSQL
MongoDB
Seguridad de la información
Bases de Datos
Bases de Datos Relacionales
Bases de Datos No Relacionales
PostgreSQL
MongoDB
title_short Parallelisms between relational and non-relational databases (a security approach)
title_full Parallelisms between relational and non-relational databases (a security approach)
title_fullStr Parallelisms between relational and non-relational databases (a security approach)
title_full_unstemmed Parallelisms between relational and non-relational databases (a security approach)
title_sort Parallelisms between relational and non-relational databases (a security approach)
dc.creator.none.fl_str_mv Chingo Esquivel, Washington
López Sevilla , Galo
author Chingo Esquivel, Washington
author_facet Chingo Esquivel, Washington
López Sevilla , Galo
author_role author
author2 López Sevilla , Galo
author2_role author
dc.subject.none.fl_str_mv Information Security
Databases
Relational Databases
Non-Relational Databases
PostgreSQL
MongoDB
Seguridad de la información
Bases de Datos
Bases de Datos Relacionales
Bases de Datos No Relacionales
PostgreSQL
MongoDB
topic Information Security
Databases
Relational Databases
Non-Relational Databases
PostgreSQL
MongoDB
Seguridad de la información
Bases de Datos
Bases de Datos Relacionales
Bases de Datos No Relacionales
PostgreSQL
MongoDB
description Databases were born as a tool for standardized storage in applications, with technological advance it arises different approaches of how to relate the data that is stored on them. Comparing two technologies with the same purpose, but with a different philosophy, can help to understand why each one was conceived; and have a better perspective on how they can be complemented and improved, through different practices. Despite there are different comparative studies on relational and non-relational databases, all based on performance and not in security perspective. The study aims to compare the securities in relational and non-relational databases in order to find differences and similarities between relational and non-relational databases. The comparative methodology, which is carried out with servers in the cloud, provides an appropriate environment to carry out the experiment between two well-known and open-access databases PostgreSQL and MongoDB, the first being a type of relational base and the second is an non-relational (NoSql), to generate as a result a comparison that is disseminated in the community scientific.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://recibe.cucei.udg.mx/index.php/ReCIBE/article/view/189
10.32870/recibe.v10i2.189
url http://recibe.cucei.udg.mx/index.php/ReCIBE/article/view/189
identifier_str_mv 10.32870/recibe.v10i2.189
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv http://recibe.cucei.udg.mx/index.php/ReCIBE/article/view/189/177
10.32870/recibe.v10i2.189.g177
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/mx/deed.es_ES
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/mx/deed.es_ES
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad de Guadalajara
publisher.none.fl_str_mv Universidad de Guadalajara
dc.source.none.fl_str_mv ReCIBE, electronic journal of Computing, Informatics, Biomedical and Electronics; Vol. 10 No. 2 (2021): Nov 2021 - Abr 2022; C1-16
ReCIBE, Revista electrónica de Computación, Informática, Biomédica y Electrónica; Vol. 10 Núm. 2 (2021): Nov 2021 - Abr 2022; C1-16
2007-5448
10.32870/recibe.v10i2
reponame:ReCIBE. Revista Electrónica de Computación, Informática, Biomédica y Electrónica
instname:UNIVERSIDAD DE GUADALAJARA
instacron:UDG
instname_str UNIVERSIDAD DE GUADALAJARA
instacron_str UDG
institution UDG
reponame_str ReCIBE. Revista Electrónica de Computación, Informática, Biomédica y Electrónica
collection ReCIBE. Revista Electrónica de Computación, Informática, Biomédica y Electrónica
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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