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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。
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。
已发布 : Apr 29, 2010


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