Cite Article

Comparison of JSON and XML Data Formats in Document Stored NoSql Database Replication Processes

Choose citation format

BibTeX

@article{IJASEIT11570,
   author = {- Rianto and Muhamad Arsyad Rifansyah and Rohmat Gunawan and Irfan Darmawan and Alam Rahmatulloh},
   title = {Comparison of JSON and XML Data Formats in Document Stored NoSql Database Replication Processes},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {3},
   year = {2021},
   pages = {1150--1156},
   keywords = {Data; JSON; NoSQL; replication; XML.},
   abstract = {The current trend of solutions in storing large amounts of data is using the NoSQL Database. A document stored is one type of NoSQL database that uses the JavaScript Object Notation (JSON) and eXtensible Markup Language (XML) data formats in data storage. High Availability database is significant to support cloud-based applications and services. Replication is one solution to maintain the consistency of source data and target data. This study aims to determine the performance of JSON and XML data formats in the document stored NoSQL Database replication process. In this study, ArangoDB, RethinkDB, and MongoDB were chosen for use in the trial process of replication from master-server to slave-server with two different data formats, JSON and XML. Data transfer, CPU usage, memory usage, and execution time are measured in each trial. Based on research and experiments that have been carried out, the JSON data format consumes bandwidth with an average value smaller than the XML data format; this occurs in MongoDB, CouchDB, and RethinkDB. In CPU usage, JSON data format, on average, consumes less CPU compared to the XML data format. This is the case with MongoDB. While on CouchDB and RethinkDB, the average CPU usage for XML and JSON data formats does not show a significant difference. The average memory usage for the JSON data format is smaller than the XML data format. The average execution time of the XML data format a little faster than the JSON data format.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11570},
   doi = {10.18517/ijaseit.11.3.11570}
}

EndNote

%A Rianto, -
%A Rifansyah, Muhamad Arsyad
%A Gunawan, Rohmat
%A Darmawan, Irfan
%A Rahmatulloh, Alam
%D 2021
%T Comparison of JSON and XML Data Formats in Document Stored NoSql Database Replication Processes
%B 2021
%9 Data; JSON; NoSQL; replication; XML.
%! Comparison of JSON and XML Data Formats in Document Stored NoSql Database Replication Processes
%K Data; JSON; NoSQL; replication; XML.
%X The current trend of solutions in storing large amounts of data is using the NoSQL Database. A document stored is one type of NoSQL database that uses the JavaScript Object Notation (JSON) and eXtensible Markup Language (XML) data formats in data storage. High Availability database is significant to support cloud-based applications and services. Replication is one solution to maintain the consistency of source data and target data. This study aims to determine the performance of JSON and XML data formats in the document stored NoSQL Database replication process. In this study, ArangoDB, RethinkDB, and MongoDB were chosen for use in the trial process of replication from master-server to slave-server with two different data formats, JSON and XML. Data transfer, CPU usage, memory usage, and execution time are measured in each trial. Based on research and experiments that have been carried out, the JSON data format consumes bandwidth with an average value smaller than the XML data format; this occurs in MongoDB, CouchDB, and RethinkDB. In CPU usage, JSON data format, on average, consumes less CPU compared to the XML data format. This is the case with MongoDB. While on CouchDB and RethinkDB, the average CPU usage for XML and JSON data formats does not show a significant difference. The average memory usage for the JSON data format is smaller than the XML data format. The average execution time of the XML data format a little faster than the JSON data format.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11570
%R doi:10.18517/ijaseit.11.3.11570
%J International Journal on Advanced Science, Engineering and Information Technology
%V 11
%N 3
%@ 2088-5334

IEEE

- Rianto,Muhamad Arsyad Rifansyah,Rohmat Gunawan,Irfan Darmawan and Alam Rahmatulloh,"Comparison of JSON and XML Data Formats in Document Stored NoSql Database Replication Processes," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 3, pp. 1150-1156, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.3.11570.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Rianto, -
AU  - Rifansyah, Muhamad Arsyad
AU  - Gunawan, Rohmat
AU  - Darmawan, Irfan
AU  - Rahmatulloh, Alam
PY  - 2021
TI  - Comparison of JSON and XML Data Formats in Document Stored NoSql Database Replication Processes
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 3
Y2  - 2021
SP  - 1150
EP  - 1156
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Data; JSON; NoSQL; replication; XML.
N2  - The current trend of solutions in storing large amounts of data is using the NoSQL Database. A document stored is one type of NoSQL database that uses the JavaScript Object Notation (JSON) and eXtensible Markup Language (XML) data formats in data storage. High Availability database is significant to support cloud-based applications and services. Replication is one solution to maintain the consistency of source data and target data. This study aims to determine the performance of JSON and XML data formats in the document stored NoSQL Database replication process. In this study, ArangoDB, RethinkDB, and MongoDB were chosen for use in the trial process of replication from master-server to slave-server with two different data formats, JSON and XML. Data transfer, CPU usage, memory usage, and execution time are measured in each trial. Based on research and experiments that have been carried out, the JSON data format consumes bandwidth with an average value smaller than the XML data format; this occurs in MongoDB, CouchDB, and RethinkDB. In CPU usage, JSON data format, on average, consumes less CPU compared to the XML data format. This is the case with MongoDB. While on CouchDB and RethinkDB, the average CPU usage for XML and JSON data formats does not show a significant difference. The average memory usage for the JSON data format is smaller than the XML data format. The average execution time of the XML data format a little faster than the JSON data format.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11570
DO  - 10.18517/ijaseit.11.3.11570

RefWorks

RT Journal Article
ID 11570
A1 Rianto, -
A1 Rifansyah, Muhamad Arsyad
A1 Gunawan, Rohmat
A1 Darmawan, Irfan
A1 Rahmatulloh, Alam
T1 Comparison of JSON and XML Data Formats in Document Stored NoSql Database Replication Processes
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 3
YR 2021
SP 1150
OP 1156
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Data; JSON; NoSQL; replication; XML.
AB The current trend of solutions in storing large amounts of data is using the NoSQL Database. A document stored is one type of NoSQL database that uses the JavaScript Object Notation (JSON) and eXtensible Markup Language (XML) data formats in data storage. High Availability database is significant to support cloud-based applications and services. Replication is one solution to maintain the consistency of source data and target data. This study aims to determine the performance of JSON and XML data formats in the document stored NoSQL Database replication process. In this study, ArangoDB, RethinkDB, and MongoDB were chosen for use in the trial process of replication from master-server to slave-server with two different data formats, JSON and XML. Data transfer, CPU usage, memory usage, and execution time are measured in each trial. Based on research and experiments that have been carried out, the JSON data format consumes bandwidth with an average value smaller than the XML data format; this occurs in MongoDB, CouchDB, and RethinkDB. In CPU usage, JSON data format, on average, consumes less CPU compared to the XML data format. This is the case with MongoDB. While on CouchDB and RethinkDB, the average CPU usage for XML and JSON data formats does not show a significant difference. The average memory usage for the JSON data format is smaller than the XML data format. The average execution time of the XML data format a little faster than the JSON data format.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11570
DO  - 10.18517/ijaseit.11.3.11570