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An Analysis on the Comparison of the Performance and Configuration Features of Big Data Tools Solr and Elasticsearch

Year 2016, , 8 - 12, 26.12.2016
https://doi.org/10.18201/ijisae.271328

Abstract

Today, every kind of text, audio and visual data, which are thought to
be transformed into pieces of information, are stored for long periods of time
for processing. The concept of Bid Data is not only associated with the data stored,
but also with the system involving hardware and software that collects,
processes, stores, and analyzes the data. As the data grows bigger, their
physical storage options must be provided in a distributed architecture. Solr
and Elasticsearch are among the most preferred tools which makes this storage
process easier. As a part of Apache Lucene project, Solr is a software which
was started to be developed in 2004 with the searching features of full text,
multiple search, dynamic clustering, database-integrated, open source and
elasticity. Similarly, Elasticsearch is a new open-source tool for real-time,
full-text and distributed search, which was launched in 2010 using the Lucene
library. Although Solr and Elasticsearch have similar features, there are many
parameters that differentiates one from the other such as intended use, type of
use, and query and indexing performances. This study researches and analyzes
the differences between Solr and Elasticsearch with regards to their query and
indexing speeds, ease and difficulties of use, configuration forms, and
architectures in light of the literature, and the results are discussed
regarding these tools’ performances.

References

  • [1] F. Ohhorst, “Turning Big Data Into Big Money”, Big Data Analytics, , New Jersey, AB.D., 2013.
  • [2] Science Clouds., https://portal.futuregrid.org/., Last Access : 13.07.2016
  • [3] S. Ramamorthy, S. Rajalakshmi, “Optimized Data Analysis in Cloud using BigData Analytics Techniques,” 4th ICCCNT Conferense, Tiruchengode, India, 2013.
  • [4] C. Yeşilkaya, “Apache Solr Kurulumu”, https://blog.kodcu.com/2013/03/apache-solr-kurulumu-ornek-sorgulama/ Last Access : 13.07.2016.
  • [5] DB-Engines Ranking of Search Engines, http://db-engines.com/en/ranking/search+engine, Last Access : 13.07.2016
  • [6] Apache Solr, https://tr.wikipedia.org/wiki/Apache_Solr, Last Access : 13.07.2016
  • [7] M.A. Akca, T. Aydoğan, “Elasticsearch Yük Dengeleme Işleminin Manuel Yapılandırılması Ve Başarım Ölçümü İçin Yazılım Geliştirilmesi”, “Selcuk University, Journal of Engineering, Science & Technology, 4/2, 121-130, 2016
  • [8] Solr, “http://lucene.apache.org/solr”, Last Access : 13.07.2016
  • [9] Solr’a Giriş ve Solarium, http://www.sonsuzdongu.com/blog/solr-a-giris-ve-solarium, Last Access : 13.07.2016
  • [10] H. Akdoğan, “Elasticsearch”, https://blog.kodcu.com/2013/08/elasticsearch/, Last Access : 14.07.2016
  • [11] Apache Solr vs Elasticsearch, http://solr-vs-elasticsearch.com//, Last Access : 14.07.2016
  • [12] C. Hull, “Elasticsearch and SolrCloud a performance comparison”, http://www.slideshare.net/charliejuggler/lucene-solrlondonug-meetup28nov2014-solr-es-performance?from_action=save”, Last Access : 17.07.2016
  • [13] Tom, “Elasticsearch vs Solr Performance”, http://www.flax.co.uk/blog/2015/12/02/elasticsearch-vs-solr-performance-round-2/, Last Access : 15.07.2016
  • [14] Queries per second, https://en.wikipedia.org/wiki/Queries_per_second, Last Access : 15.07.2016
Year 2016, , 8 - 12, 26.12.2016
https://doi.org/10.18201/ijisae.271328

Abstract

References

  • [1] F. Ohhorst, “Turning Big Data Into Big Money”, Big Data Analytics, , New Jersey, AB.D., 2013.
  • [2] Science Clouds., https://portal.futuregrid.org/., Last Access : 13.07.2016
  • [3] S. Ramamorthy, S. Rajalakshmi, “Optimized Data Analysis in Cloud using BigData Analytics Techniques,” 4th ICCCNT Conferense, Tiruchengode, India, 2013.
  • [4] C. Yeşilkaya, “Apache Solr Kurulumu”, https://blog.kodcu.com/2013/03/apache-solr-kurulumu-ornek-sorgulama/ Last Access : 13.07.2016.
  • [5] DB-Engines Ranking of Search Engines, http://db-engines.com/en/ranking/search+engine, Last Access : 13.07.2016
  • [6] Apache Solr, https://tr.wikipedia.org/wiki/Apache_Solr, Last Access : 13.07.2016
  • [7] M.A. Akca, T. Aydoğan, “Elasticsearch Yük Dengeleme Işleminin Manuel Yapılandırılması Ve Başarım Ölçümü İçin Yazılım Geliştirilmesi”, “Selcuk University, Journal of Engineering, Science & Technology, 4/2, 121-130, 2016
  • [8] Solr, “http://lucene.apache.org/solr”, Last Access : 13.07.2016
  • [9] Solr’a Giriş ve Solarium, http://www.sonsuzdongu.com/blog/solr-a-giris-ve-solarium, Last Access : 13.07.2016
  • [10] H. Akdoğan, “Elasticsearch”, https://blog.kodcu.com/2013/08/elasticsearch/, Last Access : 14.07.2016
  • [11] Apache Solr vs Elasticsearch, http://solr-vs-elasticsearch.com//, Last Access : 14.07.2016
  • [12] C. Hull, “Elasticsearch and SolrCloud a performance comparison”, http://www.slideshare.net/charliejuggler/lucene-solrlondonug-meetup28nov2014-solr-es-performance?from_action=save”, Last Access : 17.07.2016
  • [13] Tom, “Elasticsearch vs Solr Performance”, http://www.flax.co.uk/blog/2015/12/02/elasticsearch-vs-solr-performance-round-2/, Last Access : 15.07.2016
  • [14] Queries per second, https://en.wikipedia.org/wiki/Queries_per_second, Last Access : 15.07.2016
There are 14 citations in total.

Details

Subjects Engineering
Journal Section Research Article
Authors

Mustafa Ali Akca This is me

Tuncay Aydoğan

Muhammer İlkuçar This is me

Publication Date December 26, 2016
Published in Issue Year 2016

Cite

APA Akca, M. A., Aydoğan, T., & İlkuçar, M. (2016). An Analysis on the Comparison of the Performance and Configuration Features of Big Data Tools Solr and Elasticsearch. International Journal of Intelligent Systems and Applications in Engineering, 4(Special Issue-1), 8-12. https://doi.org/10.18201/ijisae.271328
AMA Akca MA, Aydoğan T, İlkuçar M. An Analysis on the Comparison of the Performance and Configuration Features of Big Data Tools Solr and Elasticsearch. International Journal of Intelligent Systems and Applications in Engineering. December 2016;4(Special Issue-1):8-12. doi:10.18201/ijisae.271328
Chicago Akca, Mustafa Ali, Tuncay Aydoğan, and Muhammer İlkuçar. “An Analysis on the Comparison of the Performance and Configuration Features of Big Data Tools Solr and Elasticsearch”. International Journal of Intelligent Systems and Applications in Engineering 4, no. Special Issue-1 (December 2016): 8-12. https://doi.org/10.18201/ijisae.271328.
EndNote Akca MA, Aydoğan T, İlkuçar M (December 1, 2016) An Analysis on the Comparison of the Performance and Configuration Features of Big Data Tools Solr and Elasticsearch. International Journal of Intelligent Systems and Applications in Engineering 4 Special Issue-1 8–12.
IEEE M. A. Akca, T. Aydoğan, and M. İlkuçar, “An Analysis on the Comparison of the Performance and Configuration Features of Big Data Tools Solr and Elasticsearch”, International Journal of Intelligent Systems and Applications in Engineering, vol. 4, no. Special Issue-1, pp. 8–12, 2016, doi: 10.18201/ijisae.271328.
ISNAD Akca, Mustafa Ali et al. “An Analysis on the Comparison of the Performance and Configuration Features of Big Data Tools Solr and Elasticsearch”. International Journal of Intelligent Systems and Applications in Engineering 4/Special Issue-1 (December 2016), 8-12. https://doi.org/10.18201/ijisae.271328.
JAMA Akca MA, Aydoğan T, İlkuçar M. An Analysis on the Comparison of the Performance and Configuration Features of Big Data Tools Solr and Elasticsearch. International Journal of Intelligent Systems and Applications in Engineering. 2016;4:8–12.
MLA Akca, Mustafa Ali et al. “An Analysis on the Comparison of the Performance and Configuration Features of Big Data Tools Solr and Elasticsearch”. International Journal of Intelligent Systems and Applications in Engineering, vol. 4, no. Special Issue-1, 2016, pp. 8-12, doi:10.18201/ijisae.271328.
Vancouver Akca MA, Aydoğan T, İlkuçar M. An Analysis on the Comparison of the Performance and Configuration Features of Big Data Tools Solr and Elasticsearch. International Journal of Intelligent Systems and Applications in Engineering. 2016;4(Special Issue-1):8-12.