Analysis of query execution speed in the selected NoSQL databases
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Published:
Sep 30, 2018
Issue Vol. 7 (2018)
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Main Article Content
DOI
Authors
Wojciech Bolesta
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland, Poland
Abstract
The scientific article deals with a comparison of the query speed of two NoSQL databases. Described databases will be MongoDB and CouchDB. The work presents speed comparisons of such queries as adding data to the database, editing database data, deleting data from the database, and searching data in the database. Also a general comparison of bases will be presented, with the answer to the question of which of the tested NoSQL databases is faster.
Keywords:
NoSQL; MongoDB; CouchDB
References
[1] R. Henricsson, Document Oriented NoSQL Databases: A comparison of performance in MongoDB and CouchDB using a Python interface, PublicationsElectronic Research Archive Blekinge Tekniska Hogskola; 2011.
[2] P.Noiumkar, T. Chomsiri. A Comparison the Level of Security on Top 5 Open Source NoSQL Databases. Annual International Conference on Information Technology & Applications, 2014.
[3] N. Aloisio Dourado, E. Fernandes,M. Holanda, E. Riberio, RCarvalho MongoDB performance analysis: A comparative study between stand-alone and sharded cluster deployments with open data from Brazilian Bolsa familia program, 12th Iberian Conference on Information Systems and Technologies, 2017.
[4] M. Patil, A. Hanni, C. Tejeshwar, P. Patil, A qualitative analysis of the performance of MongoDB vs MySQL database based on insertion and retriewal operations using a web/android application to explore load balancing — Sharding in MongoDB and its advantages, International Conference on I-SMAC, 2017.
[5] M. Jung, S. Youn, J. Bae, Y. Choi, A Study on Data Input and Output Performance Comparison of MongoDB and PostgreSQL in the Big Data Environment, 8th International Conference on Database Theory and Application, 2015.
[6] M. Brown, Getting Started with CouchDB, Sebastopol, 2012.
[7] S. Gupta, A comparative study of elasticsearch and CouchDB document oriented databases, International Conference on Inventive Computation Technologies, 2016.
[8] K. Kumar, S. Mohanavalli, A performance comparison of document oriented NoSQL databases, International Conference on Computer, Communication and Signal Processing, 2017.
[9] N. Surya, E. Ramez, Quantitative Analysis of Scalable NoSQL Databases, San Francisco. 2016.
[10] P. Pragati, G.Saumya, K. Anil, Analysis of Various NoSql Database, Rajasthan, 2015.
[2] P.Noiumkar, T. Chomsiri. A Comparison the Level of Security on Top 5 Open Source NoSQL Databases. Annual International Conference on Information Technology & Applications, 2014.
[3] N. Aloisio Dourado, E. Fernandes,M. Holanda, E. Riberio, RCarvalho MongoDB performance analysis: A comparative study between stand-alone and sharded cluster deployments with open data from Brazilian Bolsa familia program, 12th Iberian Conference on Information Systems and Technologies, 2017.
[4] M. Patil, A. Hanni, C. Tejeshwar, P. Patil, A qualitative analysis of the performance of MongoDB vs MySQL database based on insertion and retriewal operations using a web/android application to explore load balancing — Sharding in MongoDB and its advantages, International Conference on I-SMAC, 2017.
[5] M. Jung, S. Youn, J. Bae, Y. Choi, A Study on Data Input and Output Performance Comparison of MongoDB and PostgreSQL in the Big Data Environment, 8th International Conference on Database Theory and Application, 2015.
[6] M. Brown, Getting Started with CouchDB, Sebastopol, 2012.
[7] S. Gupta, A comparative study of elasticsearch and CouchDB document oriented databases, International Conference on Inventive Computation Technologies, 2016.
[8] K. Kumar, S. Mohanavalli, A performance comparison of document oriented NoSQL databases, International Conference on Computer, Communication and Signal Processing, 2017.
[9] N. Surya, E. Ramez, Quantitative Analysis of Scalable NoSQL Databases, San Francisco. 2016.
[10] P. Pragati, G.Saumya, K. Anil, Analysis of Various NoSql Database, Rajasthan, 2015.
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