Execution Time Analysis of Electrical Network Tracing in Relational and Graph Databases

Detta är en Master-uppsats från KTH/Skolan för elektroteknik och datavetenskap (EECS)

Författare: Felix De Silva; [2019]

Nyckelord: ;

Sammanfattning: In today’s society, we handle a lot of connected data. Examples are companies like Facebook and Amazon, that handle connected data in different ways. Geographic Information Systems and Network Information Systems handle connected data in the form of networks or graphs that can represent anything from an electrical network to a product network. When it comes to connected data, the most commonly used database technology is relational databases. However, with a lot of new databases emerging, there may be better alternatives for connected data that can provide higher performance. In this study we look at the Oracle relational database and the Neo4j graph database and study how both databases traverse an electrical network. The findings indicate that the Neo4j graph database outperforms the Oracle relational database regarding execution time of search queries.

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