A graph database management system stores data as nodes and the edges connecting them, keeping each relationship as a directly stored fact rather than something a query has to reconstruct by joining separate tables together. Because a relationship is retrieved as an existing stored link rather than computed at query time, traversing many connected records, such as following a chain of related entities several steps deep, stays fast even as the number of connections grows, in a way a relational join-heavy query typically does not. This design suits densely interconnected data such as social networks, recommendation engines, fraud detection graphs and knowledge graphs, where the relationships between records carry as much meaning as the records themselves and are queried as often as the records are.
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Era of Emergence All Graph Database Management System
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1. Wikipedia: Graph database
Graph database article, sentence naming 2000Quote, Graph database article, sentence naming 2000
Graph databases attracted considerable attention in the 2000s, due to the successes of major technology corporations using proprietary graph databases, along with the introduction of open-source graph databases.
View the Source Wikidata: Neo4j
Has Member: Neo4j, Wikidata lists Neo4j (Q1628290) as an instance of graph database management system (Q137916409)View the Source Wikidata: Amazon Neptune
Has Member: Amazon Neptune, Wikidata lists Amazon Neptune (Q48843359) as an instance of graph database management system (Q137916409)View the Source Wikidata: ArangoDB
Has Member: ArangoDB, Wikidata lists ArangoDB (Q20072115) as an instance of graph database management system (Q137916409)View the Source Wikidata: OrientDB
Has Member: OrientDB, Wikidata lists OrientDB (Q808716) as an instance of graph database management system (Q137916409)View the Source Wikipedia: JanusGraph
Wikimedia FoundationHas Member: JanusGraph, Lead sectionQuote, Has Member: JanusGraph, Lead section
distributed graph database
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