MongoDB vs. Oracle: A comparative study using classification algorithms

R. Anju; B. P. Swathi

doi:10.1109/ICCIC.2016.7919628

MongoDB vs. Oracle: A comparative study using classification algorithms

R. Anju, B. P. Swathi

Department of Information and Communication Technology, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Databases, an essential component of everyday life in the modern society is nothing but set of records that have values for predefined attributes. This work compares the structured and unstructured databases in terms of performance. The performance in terms of time is examined to retrieve the data from the databases to build a data mining model. The results justify that unstructured database perform better than structured database for both system and user time.

Original language	English
Title of host publication	2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509006113
DOIs	https://doi.org/10.1109/ICCIC.2016.7919628
Publication status	Published - 04-05-2017
Event	2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016 - Thalambur, Chennai, India Duration: 15-12-2016 → 17-12-2016

Conference

Conference	2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016
Country/Territory	India
City	Thalambur, Chennai
Period	15-12-16 → 17-12-16

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ICCIC.2016.7919628

Cite this

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title = "MongoDB vs. Oracle: A comparative study using classification algorithms",

abstract = "Databases, an essential component of everyday life in the modern society is nothing but set of records that have values for predefined attributes. This work compares the structured and unstructured databases in terms of performance. The performance in terms of time is examined to retrieve the data from the databases to build a data mining model. The results justify that unstructured database perform better than structured database for both system and user time.",

author = "R. Anju and Swathi, {B. P.}",

year = "2017",

month = may,

day = "4",

doi = "10.1109/ICCIC.2016.7919628",

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booktitle = "2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016 ; Conference date: 15-12-2016 Through 17-12-2016",

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Anju, R & Swathi, BP 2017, MongoDB vs. Oracle: A comparative study using classification algorithms. in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016., 7919628, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, Thalambur, Chennai, India, 15-12-16. https://doi.org/10.1109/ICCIC.2016.7919628

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T1 - MongoDB vs. Oracle

T2 - 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016

AU - Anju, R.

AU - Swathi, B. P.

PY - 2017/5/4

Y1 - 2017/5/4

N2 - Databases, an essential component of everyday life in the modern society is nothing but set of records that have values for predefined attributes. This work compares the structured and unstructured databases in terms of performance. The performance in terms of time is examined to retrieve the data from the databases to build a data mining model. The results justify that unstructured database perform better than structured database for both system and user time.

AB - Databases, an essential component of everyday life in the modern society is nothing but set of records that have values for predefined attributes. This work compares the structured and unstructured databases in terms of performance. The performance in terms of time is examined to retrieve the data from the databases to build a data mining model. The results justify that unstructured database perform better than structured database for both system and user time.

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M3 - Conference contribution

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BT - 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 15 December 2016 through 17 December 2016

ER -

MongoDB vs. Oracle: A comparative study using classification algorithms

Abstract

Conference

All Science Journal Classification (ASJC) codes

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