NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter



MongoDB Sharding Explained

Kristina Chodorow (@kchodorow) explains MongoDB’s sharding implementation (nb still in alpha at the time of this writing):

Sharding is the not-so-revolutionary way that MongoDB scales writes (it’s very similar to techniques described in the Big Table paper and by PNUTS)

MongoDB Sharding

Credit Kristina Chodorow

On the same topic of MongoDB sharding, you’ve probably heard already about the “8000000 operations per second with our sharded storage” published on the same blog. I’d like to strongly encourage you once again to check the facts (nb which are almost completely missing this time) before admitting such benchmarks/numbers.