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更新于 : Jan 28, 2014
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。
For problems that fit the document database model, MongoDB is now the most popular choice. In addition to ease of use and a solid technical implementation, the community and ecosystem contributed to this success. We are aware of problems where teams were tempted by the popularity of MongoDB when a document database was not a good fit or they did not understand the inherent complexity. When used appropriately, however, MongoDB has proven itself on many projects.
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。
Oct 2012
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。
For problems that fit the document databases model, MongoDB provides easy programmability, a query interface, high availability with automated failover, and automated sharding capabilities. It allows for a smooth transition to NoSQL data stores from the RDBMS model, with the inclusion of familiar concepts, such as the ability to define indexes.
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。
Document-oriented databases treat each record as a document with the ability to add any number of fields of arbitrary size. A relatively large amount of the attention that has been directed at document databases has landed on mongoDB, a highly scalable option with support for querying, indexing, replication and sharding. Beyond its enterprise feature set, its popularity is aided by its driver support for Java, Ruby, PHP, C#, Python and a number of other languages.
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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