PL EN


2014 | 199 | 283-295
Article title

Wielokrotne przyspieszenie działania aplikacji poprzez zastosowanie technologii nierelacyjnych baz danych

Content
Title variants
EN
Substantial Increase in Application Performance Through the Use of NoSQL Database Technologies
Languages of publication
PL
Abstracts
EN
The aim of this article is to experimentally verify higher efficiency of NoSQL databases over typical relational databases. After short introduction to NoSQL, document databases and key-value stores, several efficiency tests were conducted, with the use of YCSB testing benchmark. Results show that the higher the load on the database, the higher the efficiency benefit of using NoSQL, especially for insert and update operations, and for key-value stores. Afterwards, the database efficiency is compared in a real application - a user-based recommendation engine. In this case the usage of NoSQL can boost the application speed at least three times, but the predicted efficiency increase under greater loads is much higher.
Year
Volume
199
Pages
283-295
Physical description
Contributors
References
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  • Jing Han, Haihong E., Guan Le, Jian Du, Survey on NoSQL database, "Pervasive Computing and Applications (ICPCA)" 2011.
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  • Kruber N., Scalaris: Scalable Web Applications with a Transactional Key-Value Store, 2012, http://2012.berlinbuzzwords.de/sites/2012.berlinbuzzwords.de/files/slides/Scalari s-nkruber-bbuzz12.pdf.
  • Nayak A., Poriya A., Poojary D., Type of NOSQL Databases and its Comparison with Relational Databases, "International Journal of Applied Information Systems" 2013, Vol. 5, No. 4.
  • Pazzani M., Content based Recommendation Systems [in:] The Adaptive Web: Methods and Strategies of Web Personalization, eds. P. Brusilovsky, A. Kobsa, W. Nejdl, Springer Verlag, Berlin Heidelberg 2007.
  • Strobin L., Niewiadomski A., New Hierarchical Data Model for Efficiency in NoSQL Databases [in:] Computer Methods in Practice, eds. A. Cader, M. Yatsymirsky, K. Przybyszewski, Computer Science, Exit, Warszawa 2012.
Document Type
Publication order reference
Identifiers
ISSN
2083-8611
YADDA identifier
bwmeta1.element.desklight-e68b7247-39a5-4e96-9ead-85d37a0c3cc8
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