Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The analysis of the relationship among data entities has lead to model them as graphs. Since the size of the datasets has significantly grown in the recent years, it has become necessary to implement efficient graph databases that can load and manage these huge datasets.#R##N##R##N#,  evaluate the performance of four of the most scalable native graph database projects (Neo4j, Jena, HypergraphDB and DEX).  implement the full HPC Scalable Graph Analysis Benchmark, and  test the performance of each database for different typical graph operations and graph sizes, showing that in their current development status, DEX and Neo4j are the most efficient graph databases.
['David Dominguez-Sal', 'P. Urbón-Bayes', 'Aleix Giménez-Vañó', 'Sergio Gómez-Villamor', 'Norbert Martínez-Bazan', 'Josep-Lluís Larriba-Pey']
I am writing a research paper on a idea Survey of graph database performance on the HPC scalable graph analysis benchmark
[{"from": "human", "value": "I am writing a research paper on a idea Survey of graph database performance on the HPC scalable graph analysis benchmark"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The analysis of the relationship among data entities has lead to model them as graphs. Since the size of the datasets has significantly grown in the recent years, it has become necessary to implement efficient graph databases that can load and manage these huge datasets.#R##N##R##N#,  evaluate the performance of four of the most scalable native graph database projects (Neo4j, Jena, HypergraphDB and DEX).  implement the full HPC Scalable Graph Analysis Benchmark, and  test the performance of each database for different typical graph operations and graph sizes, showing that in their current development status, DEX and Neo4j are the most efficient graph databases."}]