R Kalantari
Comparing the performance of object and object relational database systems on objects of varying complexity
Kalantari, R; Bryant, CH
Abstract
This is the first published work to compare the performance of object and object relational database systems based on the object's complexity. The findings of this research show that the performance of object and object relational database systems are related to the complexity of the object in use. Object relational databases have better performance compared to object databases for fundamental database operations, with the exception of insert operations, on objects with low and medium complexity. For objects with high complexity, the object relational databases have better performance for update and delete operations.
Citation
Kalantari, R., & Bryant, C. (2012). Comparing the performance of object and object relational database systems on objects of varying complexity. In L. MacKinnon (Ed.), Proceedings of the 27th British National Conference on Databases. https://doi.org/10.1007/978-3-642-25704-9_8
Start Date | Jul 1, 2010 |
---|---|
Publication Date | Feb 16, 2012 |
Deposit Date | Oct 11, 2011 |
Publicly Available Date | Apr 5, 2016 |
Publisher | Springer |
Series Title | Lecture Notes in Computer Science |
Series Number | 6121 |
Book Title | Proceedings of the 27th British National Conference on Databases |
ISBN | 978-3-642-25703-2 |
DOI | https://doi.org/10.1007/978-3-642-25704-9_8 |
Keywords | Object database, object relational database, performance, complexity. |
Files
Accepted Version
(478 Kb)
PDF
You might also like
Pruning methods for rule induction
(2017)
Thesis
Pruning classification rules with instance reduction methods
(2015)
Journal Article
Preceding rule induction with instance reduction methods
(2013)
Conference Proceeding
Predicting functional upstream open reading frames in Saccharomyces cerevisiae
(2009)
Journal Article
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search