A comparative analysis of the performance of the relational database and the Hadoop environment in the context of analytical data processing
Article Sidebar
Open full text
Issue Vol. 28 (2023)
-
The Examination of SQL Queries Efficiency in Chosen IT System
Krzysztof Barczak186-189
-
Comparative analysis of selected databases on the example of a proprietary web application
Łukasz Przychodzień, Dominika Radwan, Grzegorz Kozieł190-196
-
Performance optimization of web applications using Qwik
Adam Lipiński, Beata Pańczyk197-203
-
Analyze the effectiveness of ETL processes implemented using SQL and Apache HiveQL languages
Krzysztof Litka204-209
-
A comparative analysis of the performance of the relational database and the Hadoop environment in the context of analytical data processing
Michał Zadrąg210-216
-
Performance comparison of Flutter platform GUI in web and native environments
Juliusz Piskor, Marcin Badurowicz217-222
-
Usability analysis of banking service interfaces in Poland
Paulina Sułek, Aleksandra Walaszek223-228
-
Comparative analysis of selected tools for test automation of web applications
Analiza porównawcza wybranych narzędzi do automatyzacji testów aplikacji webowychMichał Pojęta, Franciszek Wąsik, Małgorzata Plechawska-Wójcik229-235 -
Comparative analysis of methods for testing web applications
Wojciech Superson, Tomasz Smyk, Małgorzata Plechawska-Wójcik236-241
-
Performance comparison of microservices written using reactive and imperative approaches
Kacper Mochniej, Marcin Badurowicz242-247
-
Comparative analysis of live sports streaming services
Emilia Skiba248-255
-
Comparative analysis of Angular and React development frameworks
Sylwester Skrzypiec, Małgorzata Plechawska-Wójcik256-263
-
Performance analysis of databases created in virtualized and containerized environment
Zygmunt Łata, Maria Skublewska-Paszkowska264-272
-
A comparative analysis of non-relational databases in e-commerce applications
Kacper Saweczko, Grzegorz Rożek, Małgorzata Plechawska-Wójcik273-278
-
Analysis of how universal design principles impact on the perception of virtual museum interfaces
Dawid Nicpoń, Weronika Wach, Maria Skublewska-Paszkowska279-284
-
An accessibility analysis of websites of selected types of universities
Maciej Banaszak, Mariusz Dzieńkowski285-290
-
Impact of changes in graphics setting on performance in selected video games
Kamil Szafran, Małgorzata Plechawska-Wójcik291-295
-
The comparative performance analysis of selected relational database systems
Szymon Schab296-303
Main Article Content
DOI
Authors
Abstract
The article presents a detailed comparative analysis of the performance of a Microsoft SQL Server relational database and an Apache Hadoop environment in the context of analytical data processing. The study was carried out by execut-ing more than a dozen research scenarios with different queries on datasets of varying sizes. For each research scenario, the average query execution time on different datasets was compared. Based on the results, it was found that the average execution time of queries from the presented scenarios is significantly shorter in MS SQL Server than in Apache Ha-doop.
Keywords:
References
P. O. Queiroz-Sousa, A. C. Salgado, A review on OLAP technologies applied to information networks, ACM Transactions on Knowledge Discovery from Data (TKDD) 14(1) (2019) 1–25, https://doi.org/10.1145/3370912. DOI: https://doi.org/10.1145/3370912
S. Sagiroglu, D. Sinanc, Big data: A review, Proceedings of the 2013 international conference on collaboration technologies and systems (CTS), IEEE, San Diego, CA, USA (2013) 42–47, https://doi.org/10.1109/CTS.2013.6567202. DOI: https://doi.org/10.1109/CTS.2013.6567202
S. Chaudhuri, U. Dayal, An overview of data warehousing and OLAP technology, ACM Sigmod record 26(1) (1997) 65–74, https://doi.org/10.1145/248603.248616. DOI: https://doi.org/10.1145/248603.248616
J. Song, C. Guo, Z. Wang, Y. Zhang, G. Yu, J. M. Pierson, HaoLap: A Hadoop based OLAP system for big data, Journal of Systems and Software 102 (2015) 167–181, https://doi.org/10.1016/j.jss.2014.09.024. DOI: https://doi.org/10.1016/j.jss.2014.09.024
R. Stanek, Microsoft SQL Server. Brno: Computer Press, 2013. [12.02.2023]
R. Kumar, B. B. Parashar, S. Gupta, Y. Sharma, N. Gupta, Apache hadoop, nosql and newsql solutions of big data, International Journal of Advance Foundation and Research in Science & Engineering (IJAFRSE) 1(6) (2014) 28–36, https://doi.org/10.13140/2.1.3454.9444.
K. Shvachko, H. Kuang, S. Radia, R. Chansler, The hadoop distributed file system, Proceedings of the 2010 IEEE 26th symposium on mass storage systems and technologies (MSST), Ieee, Incline Village, NV, USA (2010) 1–10, https://doi.org/10.1109/MSST.2010.5496972 DOI: https://doi.org/10.1109/MSST.2010.5496972
J. Dittrich, J. A. Quiané-Ruiz, Efficient big data processing in Hadoop MapReduce, Proceedings of the VLDB Endowment 5(12) (2012) 2014-2015, https://doi.org/10.14778/2367502.2367562. DOI: https://doi.org/10.14778/2367502.2367562
V. K. Vavilapalli, A. C. Murthy, C. Douglas, S. Agarwal, M. Konar, R. Evans, E. Baldeschwieler, Apache hadoop yarn: Yet another resource negotiator., Proceedings of the 4th annual Symposium on Cloud Computing, Santa Clara California (2013) 1–16, https://doi.org/10.1145/2523616.2523633 DOI: https://doi.org/10.1145/2523616.2523633
Article Details
Abstract views: 178
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
