{"title":"A Review on Graph Database and its representation","authors":"Subrata Paul, A. Mitra, C. Koner","doi":"10.1109/ICRAECC43874.2019.8995006","DOIUrl":null,"url":null,"abstract":"Extensively, facts are represented characteristically as a table for the purpose of making it indexed with increased readability. Currently, the tendencies are altering as Graph databases are rapidly attaining popularity. Actually, it is appropiately termed as \"the outlook of DBMS\". The demonstration of facts within the procedure of a graph advances within the circumstances sound for the prearranged facts through a dynamic schema. This paper discusses the backbone of graph database as to why they are gaining much popularity in present situations illustrating the dissimilar types available and their distinction. Owing to the extensive usage of graph algorithms with models, neither a standardised system nor query language has been dispossessed with graph databases. Research and industry acceptance will regulate the upcoming course of graph databases. The authors have tried in representing the graph database with a real life scenario.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRAECC43874.2019.8995006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Extensively, facts are represented characteristically as a table for the purpose of making it indexed with increased readability. Currently, the tendencies are altering as Graph databases are rapidly attaining popularity. Actually, it is appropiately termed as "the outlook of DBMS". The demonstration of facts within the procedure of a graph advances within the circumstances sound for the prearranged facts through a dynamic schema. This paper discusses the backbone of graph database as to why they are gaining much popularity in present situations illustrating the dissimilar types available and their distinction. Owing to the extensive usage of graph algorithms with models, neither a standardised system nor query language has been dispossessed with graph databases. Research and industry acceptance will regulate the upcoming course of graph databases. The authors have tried in representing the graph database with a real life scenario.