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master's thesis
Usporedba SQL server i MongoDB baza podataka na primjeru web aplikacije
2023. urn:nbn:hr:166:198688
Aglić Čuvić, Marina
University of Split
Faculty of Science
Department of Informatics

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Aglić Čuvić, M. (2023). Usporedba SQL server i MongoDB baza podataka na primjeru web aplikacije (Master's thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:198688

Aglić Čuvić, Marina. "Usporedba SQL server i MongoDB baza podataka na primjeru web aplikacije." Master's thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:198688

Aglić Čuvić, Marina. "Usporedba SQL server i MongoDB baza podataka na primjeru web aplikacije." Master's thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:198688

Aglić Čuvić, M. (2023). 'Usporedba SQL server i MongoDB baza podataka na primjeru web aplikacije', Master's thesis, University of Split, Faculty of Science, accessed 23 April 2024, https://urn.nsk.hr/urn:nbn:hr:166:198688

Aglić Čuvić M. Usporedba SQL server i MongoDB baza podataka na primjeru web aplikacije [Master's thesis]. Split: University of Split, Faculty of Science; 2023 [cited 2024 April 23] Available at: https://urn.nsk.hr/urn:nbn:hr:166:198688

M. Aglić Čuvić, "Usporedba SQL server i MongoDB baza podataka na primjeru web aplikacije", Master's thesis, University of Split, Faculty of Science, Split, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:166:198688

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Metadata
TitleUsporedba SQL server i MongoDB baza podataka na primjeru web aplikacije
Title (english)Comparison of SQL server and MongoDB database on the example of a web application
AuthorMarina Aglić Čuvić
MentorMonika Mladenović (mentor)
Committee memberMonika Mladenović (predsjednik povjerenstva)
Committee memberDivna Krpan (član povjerenstva)
Committee memberGoran Zaharija (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2023-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj rada je istraživanje i usporedba performansi nad relacijskim i nerelacijskim bazama podataka. Za relacijsku bazu podataka smo koristili Microsoft SQL Server, a za nerelacijsku bazu podataka MongoDB. Analizirat ćemo i testirati njihove performance u operacijama dohvaćanja podataka, ažuriranja podataka i brisanja podataka koristeći različite skupove podataka počevši od 100 pa sve do 1000000. Rezultati ukazuju na to da je MS SQL baza podataka brže dohvaćala veće skupove podataka, te je brže ažurirala podatake, dok je MongoDB bio brži u dohvaćanju određenih informacija iz različitih skupova podataka i brisanju.
Abstract (english)
The goal of the thesis is to research and compare the performance of relational and non-relational databases. We used Microsoft SQL Server for the relational database, and MongoDB for the non-relational database. We will analyze and test their performance in data acceptance, data update and data deletion operations using different data sets starting from 100 up to 1000000. The results indicate that the MS SQL database accepted larger data sets faster, and updated data faster, while MongoDB was faster at retrieving specific information from different datasets and deleting it.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:198688
Study programmeTitle: Computer Science; specializations in: major in teaching
Course: major in teaching
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije informatike (magistar/magistra edukacije informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-09-25 12:44:24