Performance Comparison of DW System Tajo Based on Hadoop and Relational DBMS


KIPS Transactions on Software and Data Engineering, Vol. 3, No. 9, pp. 349-354, Sep. 2014
10.3745/KTSDE.2014.3.9.349,   PDF Download:

Abstract

Since Hadoop which is the Big-data processing platform was announced, SQL-on-Hadoop is the spotlight as the technique to analyze data using SQL on Hadoop. Tajo created by Korean programmers has recently been promoted to Top-Level-Project status by the Apache in April and has been paid attention all around world. Despite a sensible change caused by Hadoop``s appearance in DW market, researches of those performance is insufficient. Thus, this study has been conducted to help choose a DW solution based on SQL-on-Hadoop as progressing the test on comparison analysis of RDBMS and Tajo. It has shown that Tajo based on Hadoop is more superior than RDBMS if it is used with accurate strategy. In addition, open-source project Tajo is expected not only to achieve improvements in technique due to active participation of many developers but also to be in charge of an important role of DW in the filed of data analysis.


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Cite this article
[IEEE Style]
L. Chen, J. H. Ko, J. M. Yeo, "Performance Comparison of DW System Tajo Based on Hadoop and Relational DBMS," KIPS Transactions on Software and Data Engineering, vol. 3, no. 9, pp. 349-354, 2014. DOI: 10.3745/KTSDE.2014.3.9.349.

[ACM Style]
Liu Chen, Jung Hyun Ko, and Jeong Mo Yeo. 2014. Performance Comparison of DW System Tajo Based on Hadoop and Relational DBMS. KIPS Transactions on Software and Data Engineering, 3, 9, (2014), 349-354. DOI: 10.3745/KTSDE.2014.3.9.349.