EVALUATION OF DATABASE TECHNOLOGIES FOR USAGE IN DYNAMIC DATA MODELS - A Comparison of Relational, Document Oriented and Graph Oriented Data Models

Alexander Wendt, Benjamin Dönz, Stephan Mantler, Dietmar Bruckner, Alexander Mikula

Abstract

Database technologies are evaluated in respect to their performance in model extension, data integration, data access, querying and distributed data management. The structure of the data sources is partially unknown. Additional value is gained combination of data sources. Data models for a relational, a document and a graph oriented database are compared showing strengths and weaknesses of each data model.

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Paper Citation


in Harvard Style

Wendt A., Dönz B., Mantler S., Bruckner D. and Mikula A. (2012). EVALUATION OF DATABASE TECHNOLOGIES FOR USAGE IN DYNAMIC DATA MODELS - A Comparison of Relational, Document Oriented and Graph Oriented Data Models . In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-95-9, pages 219-224. DOI: 10.5220/0003714202190224


in Bibtex Style

@conference{icaart12,
author={Alexander Wendt and Benjamin Dönz and Stephan Mantler and Dietmar Bruckner and Alexander Mikula},
title={EVALUATION OF DATABASE TECHNOLOGIES FOR USAGE IN DYNAMIC DATA MODELS - A Comparison of Relational, Document Oriented and Graph Oriented Data Models},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2012},
pages={219-224},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003714202190224},
isbn={978-989-8425-95-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - EVALUATION OF DATABASE TECHNOLOGIES FOR USAGE IN DYNAMIC DATA MODELS - A Comparison of Relational, Document Oriented and Graph Oriented Data Models
SN - 978-989-8425-95-9
AU - Wendt A.
AU - Dönz B.
AU - Mantler S.
AU - Bruckner D.
AU - Mikula A.
PY - 2012
SP - 219
EP - 224
DO - 10.5220/0003714202190224