Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/113292
Title: | Experimental Evaluation of Graph Databases: JanusGraph, Nebula Graph, Neo4j, and TigerGraph | Authors: | Monteiro, Jéssica Sá, Filipe Bernardino, Jorge |
Keywords: | benchmark; graph databases; LDBC SNB; NoSQL databases; open-source tools; JanusGraph; Nebula Graph; Neo4j; TigerGraph | Issue Date: | 2023 | Publisher: | MDPI | Serial title, monograph or event: | Applied Sciences (Switzerland) | Volume: | 13 | Issue: | 9 | Abstract: | NoSQL databases were created with the primary goal of addressing the shortcomings in the efficiency of relational databases, and can be of four types: document, column, key-value, and graph databases. Graph databases can store data and relationships efficiently, and have a flexible and easy-to-understand data schema. In this paper, we perform an experimental evaluation of the four most popular graph databases: JanusGraph, Nebula Graph, Neo4j, and TigerGraph. Database performance is evaluated using the Linked Data Benchmark Council’s Social Network Benchmark (LDBC SNB). In the experiments, we analyze the execution time of the queries, the loading time of the nodes and the RAM and CPU usage for each database. In our analysis, Neo4j was the graph database with the best performance across all metrics. | URI: | https://hdl.handle.net/10316/113292 | ISSN: | 2076-3417 | DOI: | 10.3390/app13095770 | Rights: | openAccess |
Appears in Collections: | I&D CISUC - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Experimental-Evaluation-of-Graph-Databases-JanusGraph-Nebula-Graph-Neo4j-and-TigerGraphApplied-Sciences-Switzerland.pdf | 5.21 MB | Adobe PDF | View/Open |
Page view(s)
34
checked on Oct 16, 2024
Download(s)
9
checked on Oct 16, 2024
Google ScholarTM
Check
Altmetric
Altmetric
This item is licensed under a Creative Commons License