Gelişmiş Arama

Basit öğe kaydını göster

dc.contributor.authorGüney E.
dc.contributor.authorCeylan N.
dc.date.accessioned2023-03-14T20:29:01Z
dc.date.available2023-03-14T20:29:01Z
dc.date.issued2022
dc.identifier.isbn9.78303E+12
dc.identifier.issn1867-8211
dc.identifier.urihttps://doi.org/10.1007/978-3-031-01984-5_15
dc.identifier.urihttps://hdl.handle.net/20.500.14002/1564
dc.description1st International Congress of Electrical and Computer Engineering, ICECENG 2022 -- 9 February 2022 through 12 February 2022 -- -- 277759en_US
dc.description.abstractToday, phones, tablets, commercial software, and many different devices are constantly generating data. These produced data should be accessed later on, such as software in business processes or business intelligence. Therefore, these generated data must be stored. There are many popular ways to store data constantly growing in size. All these options come with certain advantages and disadvantages. In this study, a performance comparison will be made between the PostgreSQL database, which is one of the relational databases used for data storage for many years, and the MongoDB database, which is one of the document databases, which has become increasingly popular in recent years, in certain test scenarios. In addition, the properties of relational databases and document databases are given. As a result of the study, similar data and test scenarios created in two databases and different test scenarios in terms of performance were examined, and response times were compared. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.en_US
dc.language.isoengen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICSTen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMongoDBen_US
dc.subjectNoSQL databaseen_US
dc.subjectPostgreSQLen_US
dc.subjectRelational databaseen_US
dc.subjectBusiness Processen_US
dc.subjectCommercial softwareen_US
dc.subjectData storageen_US
dc.subjectDocument databaseen_US
dc.subjectMongoDBen_US
dc.subjectPerformance comparisonen_US
dc.subjectPostgreSQLen_US
dc.subjectRelational Databaseen_US
dc.subjectTest scenarioen_US
dc.subjectTime comparisonen_US
dc.subjectDigital storageen_US
dc.titleResponse Times Comparison of MongoDB and PostgreSQL Databases in Specific Test Scenariosen_US
dc.typeconferenceObjecten_US
dc.departmentBelirleneceken_US
dc.identifier.doi10.1007/978-3-031-01984-5_15
dc.identifier.volume436 LNICSTen_US
dc.identifier.startpage178en_US
dc.identifier.endpage188en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.authorscopusid57696129400
dc.authorscopusid57698288000
dc.identifier.scopus2-s2.0-85130305615en_US


Bu öğenin dosyaları:

DosyalarBoyutBiçimGöster

Bu öğe ile ilişkili dosya yok.

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster