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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 RadarUnderstand more
Published: Apr 29, 2010
Last Updated: Jan 28, 2014
Jan 2014
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
Oct 2012
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
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