{"title":"Research on architecture and query performance based on distributed graph database Neo4j","authors":"Hongcheng Huang, Ziyu Dong","doi":"10.1109/CECNET.2013.6703387","DOIUrl":null,"url":null,"abstract":"Neo4j database based on graph model is different from other database on implementation. Firstly, this paper explores the architecture of the system and its internal mechanism. Secondly, Neo4j offers three ways to query, and evaluate its query performance from several dimensions: data size, query complexity, query number, etc. The results show that there are obvious difference in performance under different scenarios. This paper analyzes the experimental results and selection suggestions of query ways are recommended later. It provides a reference of query performance optimization for specific business applications.","PeriodicalId":427418,"journal":{"name":"2013 3rd International Conference on Consumer Electronics, Communications and Networks","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"45","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 3rd International Conference on Consumer Electronics, Communications and Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CECNET.2013.6703387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 45
Abstract
Neo4j database based on graph model is different from other database on implementation. Firstly, this paper explores the architecture of the system and its internal mechanism. Secondly, Neo4j offers three ways to query, and evaluate its query performance from several dimensions: data size, query complexity, query number, etc. The results show that there are obvious difference in performance under different scenarios. This paper analyzes the experimental results and selection suggestions of query ways are recommended later. It provides a reference of query performance optimization for specific business applications.
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