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Performance Comparison of Two Database Management Systems MySQL vs MongoDB
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2018 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Databases are commonly used today in a vast amounts of applications. The main point in using databases is to be able to store and access data fast and in a secure way. These databases need to be able make different operations as fast as possible without losing data. The two main database technologies used today are NoSQL and SQL (StructuredQuery Language) databases. NoSQL is an umbrella term for all DBMS (Database Management system) which are not using SQL like relational databases do. NoSQL stands for non-SQL, non-relational or not only SQL.

In this thesis one DBMS from each database technology is compared to each other. The comparison is based on space allocation when they contain different amounts of records and time performance when executing different operations on different amounts of records. The operation stested for the speed performance were insertion, select, update and remove.

The results showed that MySQL allocated less space when containing large amounts of records. While MongoDB was faster in almost all test case for every operation.

Place, publisher, year, edition, pages
2018. , p. 29
Series
UMNAD ; 1169
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-155398OAI: oai:DiVA.org:umu-155398DiVA, id: diva2:1278762
Educational program
Bachelor of Science Programme in Computing Science
Supervisors
Examiners
Available from: 2019-01-15 Created: 2019-01-15 Last updated: 2019-01-15Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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