Experimental Evaluation of Indexing Between HBase and MongoDB

DOI

10.2991/aer.k.211106.002How to use a DOI?

Keywords

HBase; MongoDB; Indexing; Document management system

Abstract

HBase and MongoDB are non-relational databases where HBase is column-oriented, and MongoDB is document-oriented. MongoDB uses indexing to speed up the searching process, while HBase does not have secondary indexing, a lookup table was created to save an index of searching. This research used a prototype developed in a similar data model design of the HBase and MongoDB database to compare the response time performance in searching operation using keyword frequency criteria in the document management system. The results show that the primary indexes of HBase is faster than secondary indexes of MongoDB. The time difference between HBase and MongoDB is almost a half.

Copyright

© 2021 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Ade Hodijah
PY  - 2021
DA  - 2021/11/23
TI  - Experimental Evaluation of Indexing Between HBase and MongoDB
BT  - Proceedings of the 2nd International Seminar of Science and Applied Technology (ISSAT 2021)
PB  - Atlantis Press
SP  - 8
EP  - 14
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.211106.002
DO  - 10.2991/aer.k.211106.002
ID  - Hodijah2021
ER  -