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10 standout NoSQL databases you should try

These 10 "second-generation" data stores represent the forefront of the NoSQL revolution

The NoSQL buzzword caught fire just a few short years ago, but we're already well into the second generation of the movement. While the early stacks of code were just experiments, the systems today are much more mature, ready for action, and facing the hard truths of a technology that's come of age - so much so that some of the best NoSQL data stores have already been rewritten, and a few are even sticking the 2.0 label on the latest version. Here's a list of some of the better-known tools for building fast, scalable repositories for lots of data.


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MongoDB

MongoDB has all of the classic features that define NoSQL: key/value storage, JavaScript formatting, and flexible replication for sharding across nodes. (Sharding is illustrated.) The data is written with a philosophy MongoDB calls multiversion concurrency control, a structure that keeps older versions of the data around to help keep consistency in complicated transactions. The user base is large, and there is a wide selection of ancillary tools, no doubt thanks to the open source option (strict AGPL).


  • 10 standout NoSQL databases to try
  • Casssandra
  • Lucene/Solr
  • Riak
  • CouchDB
  • Neo4J
  • Oracle NoSQL
  • MongoDB
  • Hadoop (HBase)
  • BigTable/Accumulo/Hypertable
  • DynamoDB


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