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Last updated : Jan 28, 2014
Not on the current edition
This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar Understand more
Jan 2014
采纳 ? 我们强烈建议业界采用这些技术,我们将会在任何合适的项目中使用它们。
Graph databases store information as arbitrarily interconnected nodes linked by named relations, rather than as tables and joins. Schema-less and highly extensible, they are an excellent choice for modelling semi-structured data in complex domains. Neo4j is the front-runner in the space both its REST API and its Cypher query language support simple and fast storage and traversal of graphs.
May 2013
采纳 ? 我们强烈建议业界采用这些技术,我们将会在任何合适的项目中使用它们。
Aug 2010
试验 ? 值得一试。了解为何要构建这一能力是很重要的。企业应当在风险可控的前提下在项目中尝试应用此项技术。
Graph databases store information as interconnected nodes with arbitrary relations rather than tables and nameless relations. Graph databases are an excellent choice for complex domains with semi-structured data since they’re schema-less and highly extensible. Neo4j is the front-runner in the graph database space being an embedded Java component, which supports fast storage and search of graphs for Java solutions (including server applications). The Neo4j community is highly active and now has a basic REST API enabling it as more general purpose database engine. Neo4j moving into the trial category is representative of our experience trialling it in real-world scenarios and the early successes we’ve achieved.
Apr 2010
试验 ? 值得一试。了解为何要构建这一能力是很重要的。企业应当在风险可控的前提下在项目中尝试应用此项技术。
已发布 : Apr 29, 2010
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