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更新于 : Jan 28, 2014
不在本期内容中
这一条目不在当前版本的技术雷达中。如果它出现在最近几期中,那么它很有可能仍然具有相关参考价值。如果这一条目出现在更早的雷达中,那么它很有可能已经不再具有相关性,我们的评估将不再适用于当下。很遗憾我们没有足够的带宽来持续评估以往的雷达内容。 了解更多
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。
发布于 : Apr 29, 2010
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