How well a multi-model database performs against its single-model variants: Benchmarking OrientDB with Neo4j and MongoDB
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F20%3A00116187" target="_blank" >RIV/00216224:14610/20:00116187 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.15439/2020F76" target="_blank" >http://dx.doi.org/10.15439/2020F76</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15439/2020F76" target="_blank" >10.15439/2020F76</a>
Alternative languages
Result language
angličtina
Original language name
How well a multi-model database performs against its single-model variants: Benchmarking OrientDB with Neo4j and MongoDB
Original language description
Digitalization is currently the key factor for progress, with a rising need for storing, collecting, and processing large amounts of data. In this context, NoSQL databases have become a popular storage solution, each specialized on a specific type of data. Next to that, the multi-model approach is designed to combine benefits from different types of databases, supporting several models for data. Despite its versatility, a multi-model database might not always be the best option, due to the risk of worse performance comparing to the single-model variants. It is hence crucial for software engineers to have access to benchmarks comparing the performance of multi-model and single-model variants. Moreover, in the current Big Data era, it is important to have cluster infrastructure considered within the benchmarks. In this paper, we aim to examine how the multi-model approach performs compared to its single-model variants. To this end, we compare the OrientDB multi-model database with the Neo4j graph database and the MongoDB document store. We do so in the cluster setup, to enhance state of the art in database benchmarks, which is not yet giving much insight into cluster-operating database performance.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2020 Federated Conference on Computer Science and Information Systems
ISBN
9788395541674
ISSN
2300-5963
e-ISSN
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Number of pages
8
Pages from-to
463-470
Publisher name
IEEE
Place of publication
New York
Event location
Sofia, Bulgaria
Event date
Jan 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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