Recently MongoDB is frequently shot in the hack news. Many people are more claiming to hate Mongodb,david Mytton on his blog revealing many of the existing problems in MongoDB. But the hated one has the same many preferences, as a comeback: Russell
What is a shardHigh data volume and throughput of the database application will be more pressure on the performance of the single machine, large query volume will be a single CPU exhausted, large amount of data on the single-machine storage pressure,
Mongodb series: first recognized by Mongodb and first recognized by mongodb Series
I. background:
We are honored to have taken part in the examination system maintenance at the beginning of the month. (For more information, see the activities we
MongoDB's library-level lockMongoDB is currently the most popular NoSQL database, with its natural document-type data structures, flexible data patterns, and easy-to-use horizontal scaling capabilities that have been favored by many developers. But
MongoDB: gradually becoming irrelevant, and mongodb is irrelevantAbstract:Compared with TokuMX and PostgreSQL, MongoDB is at a disadvantage. However, it is still a good product and will continue to improve to compete with these alternative products.
Hazelcast and MongoDB integrated Chszs, not allowed to reprint without the Bo master. Permitted reprint should be marked by author and blog homepage: Http://blog.csdn.net/chszs, Hazelcast and MongoDBHazelcast's distributed data structure and
A. ConciseMongoDB is a powerful, flexible, and easy-to-scale universal database1. Ease of UseMongoDB is a document-oriented (document-oriented) database, not a relational database. The main purpose of the non-relational type is to obtain better
Comments: The use of MongoDB still needs to focus on design, or even higher user requirements, rather than the opposite; MongoDB protocol problems, this may not be simple redis during c ++ code integration; however, the MongoDB communication
What is a shard?High data volume and throughput of the database application will be more pressure on the performance of the single machine, large query volume will be a single CPU exhausted, large amount of data on the single-machine storage
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