Challenging SQL-on-Hadoop performance with Apache Druid
| العنوان: | Challenging SQL-on-Hadoop performance with Apache Druid |
|---|---|
| المؤلفون: | Correia, José, Costa, Carlos A. P., Santos, Maribel Yasmina |
| المساهمون: | Universidade do Minho |
| بيانات النشر: | Springer Verlag, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Big Data, Big Data Warehouse, SQL-on-Hadoop, Druid, OLAP, Science & Technology |
| الوصف: | In Big Data, SQL-on-Hadoop tools usually provide satisfactory performance for processing vast amounts of data, although new emerging tools may be an alternative. This paper evaluates if Apache Druid, an innovative column-oriented data store suited for online analytical processing workloads, is an alternative to some of the well-known SQL-on-Hadoop technologies and its potential in this role. In this evaluation, Druid, Hive and Presto are benchmarked with increasing data volumes. The results point Druid as a strong alternative, achieving better performance than Hive and Presto, and show the potential of integrating Hive and Druid, enhancing the potentialities of both tools. |
| Description (Translated): | This work is supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundacao para a Ciencia e Tecnologia within Project UID/CEC/00319/2013 and by European Structural and Investment Funds in the FEDER component, COMPETE 2020 (Funding Reference: POCI-01-0247-FEDER-002814). |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | 9783030204846; 1865-1348 |
| DOI: | 10.1007/978-3-030-20485-3_12 |
| الاتاحة: | http://hdl.handle.net/1822/66785 |
| Rights: | open access |
| رقم الانضمام: | rcaap.com.repositorium.repositorium.sdum.uminho.pt.1822.66785 |
| قاعدة البيانات: | RCAAP |
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