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A comparison between MongoDB & CouchDB on search performance: A comparative analysis
University of Skövde, School of Informatics.
2018 (English)Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

When storing and handling Big Data sets a database management system (DBMS) can be implemented to administrate and query databases. The Swedish Internet is a big unstructured data set that contains all published Swedish Websites since the late 1990’s. NoSQL DBMSs such as MongoDB and CouchDB are particularly suited to store the Swedish Internet. Comparing the search performance of MongoDB and CouchDB in this scenario required the insertion of a subset of the Swedish Internet, querying of the data and measuring the search performance. The results show that CouchDB has in general a superior performance but comes with a drawback which is its indexation time. If a query will only be executed a few amount of times MongoDB is generally the better choice. Further studies needs to be conducted in order to assess the performance of NoSQL DBMSs over the whole dataset.

Place, publisher, year, edition, pages
2018. , p. 94
Keywords [en]
NoSQL, MongoDB, CouchDB, search performance, data archives
Keywords [sv]
NoSQL, MongoDB, CouchDB, sökprestanda, dataarkiv
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:his:diva-15415OAI: oai:DiVA.org:his-15415DiVA, id: diva2:1215436
Subject / course
Informationsteknologi
Educational program
Web Developer - Programming
Supervisors
Examiners
Available from: 2018-06-12 Created: 2018-06-08 Last updated: 2018-06-12Bibliographically approved

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Kinnander, Mathias
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
  • rtf