2014 Seventh International Conference on Contemporary Computing (IC3) 2014
DOI: 10.1109/ic3.2014.6897167
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Performance comparison for data storage - Db4o and MySQL databases

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Cited by 10 publications
(5 citation statements)
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“…Kolejną pracą naukową poświęconym opisywanej tematyce jest "Performance comparison for data storage -Db4o and MySQL databases" [3] Następny omawiany artykuł -"NoSQL real-time database performance comparison" [7], to praca autorstwa Diogo Augusto Pereira, Wagner Ourique de Morais, Edison Pignaton de Freitas. W powyższym opracowaniu dokonano porównania cech, funkcjonalności oraz wydajności trzech nierelacyjnych systemów bazodanowych: Couchbase, MongoDB oraz RethinkDB.…”
Section: Przegląd Literaturyunclassified
“…Kolejną pracą naukową poświęconym opisywanej tematyce jest "Performance comparison for data storage -Db4o and MySQL databases" [3] Następny omawiany artykuł -"NoSQL real-time database performance comparison" [7], to praca autorstwa Diogo Augusto Pereira, Wagner Ourique de Morais, Edison Pignaton de Freitas. W powyższym opracowaniu dokonano porównania cech, funkcjonalności oraz wydajności trzech nierelacyjnych systemów bazodanowych: Couchbase, MongoDB oraz RethinkDB.…”
Section: Przegląd Literaturyunclassified
“…Mehul Nalin Vora [6], used the Nosql database HBase to perform random reads and writes on very large datasets in the form of image files and the results were proved to be better than using mysql on such data. Though the performance of HBase was shown to be better than mysql, the limitation of [5] presented the model to be appropriate to perform write-once read-many operations on the attributes, but not suitable to support multiple write operations i.e., The files in HDFS were accessible efficiently in read mode but does not support multiple writes. Also, another limitation observed was, in order to use HBase, an in-depth understanding about Hadoop framework, MapReduce Programming model is required.…”
Section: Related Workmentioning
confidence: 99%
“…If the amount of information collected is drastically increased, this would require large number of tables to accommodate the growing data and also if the data storage is in form of text or image format rather than pixel data as in [4], then usage of mysql will become inappropriate. Sudhanshu Kulshreshta et.al., [5] has compared the performance of mysql with DB4o database on sample hospital dataset and showed that object-oriented databases such as DB4o are always better as compared to relational databases such as mysql in terms of time taken to persist the data in the events of huge amounts of growing records. Though object -database deals well with respect to the huge data, they occupy large storage space.…”
Section: Related Workmentioning
confidence: 99%
“…In [1], the performance comparison for data storage of health care with two databases namely Dbo4 and MySQL was done. The authors have made a detailed study about data storage in health care and have made an analysis of data storage in both the databases.…”
Section: Related Workmentioning
confidence: 99%