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Migration of Data from Relational Database to Graph Database
Date
2018-01-01
Author
Unal, Yelda
Oğuztüzün, Mehmet Halit S.
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Relational databases have been widely used in many applications until today and they have met needs for data-intensive domains and transactions, but today data is growing faster than ever and extracting information from this huge data is becoming more challenging. Growing size of data and number of connections between data items reduces performance because relational databases use many complex join operations to query and access data. As a solution, graph database store these connections between entities and provide traversing connections fast and easily and accessing data efficiently. This article reports on our experience of migration of document-based, parent-child hierarchical data from relational database to graph database. It also reports comparison of data access processes and performance between relational database and graph database.
Subject Keywords
Relational Database
,
Graph Database
,
Migration
,
NoSQL
URI
https://hdl.handle.net/11511/56411
DOI
https://doi.org/10.1145/3200842.3200852
Conference Name
8th ACM International Conference on Information Systems and Technologies (ACM ICIST)
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Department of Computer Engineering, Conference / Seminar
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Y. Unal and M. H. S. Oğuztüzün, “Migration of Data from Relational Database to Graph Database,” presented at the 8th ACM International Conference on Information Systems and Technologies (ACM ICIST), Istanbul, TURKEY, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56411.