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



Redis Sharding with Erlang

Chris Moos:

The first thing I have to say about adding nodes is to not do it. Salvatore Sanfilippo wrote a great post about sharding Redis, and his recommendation is that re-hashing is difficult and instead you should create a large number of small Redis instances up front, that way you don’t have to add more nodes down the road.

Why not going the extra mile and use consistent hashing then? This if using Gizzard or riak_core is not an option.

Original title and link: Redis Sharding with Erlang (NoSQL databases © myNoSQL)