Paper Info
Title
A discussion on the design of graph database benchmarks
Abstract
Graph Database Management systems (GDBs) are gaining popularity. They are used to analyze huge graph datasets that are naturally appearing in many application areas to model interrelated data. The objective of this paper is to raise a new topic of discussion in the benchmarking community and allow practitioners having a set of basic guidelines for GDB benchmarking. We strongly believe that GDBs will become an important player in the market field of data analysis, and with that, their performance and capabilities will also become important. For this reason, we discuss those aspects that are important from our perspective, i.e. the characteristics of the graphs to be included in the benchmark, the characteristics of the queries that are important in graph analysis applications and the evaluation workbench.
Year
DOI
Venue
2010
10.1007/978-3-642-18206-8_3
Lecture Notes in Computer Science
Keywords
Field
DocType
basic guideline,data analysis,graph database benchmarks,interrelated data,important player,benchmarking community,gdb benchmarking,application area,graph database management system,graph analysis application,huge graph datasets,database management system
Data science,Workbench,Graph database,Computer science,Social network analysis,Power graph analysis,SPARQL,Management system,Benchmarking,RDF
Conference
Volume
ISSN
Citations 
6417
0302-9743
34
PageRank 
References 
Authors
2.81
17
5
Name
Order
Citations
PageRank
David Dominguez-Sal118916.35
Norbert Martinez-Bazan2484.98
Victor Muntes-Mulero3384.06
pedro baleta ferrer4342.81
Josep Lluis Larriba-Pay5342.81