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



Varnish Cache + Riak

When combined with the caching proxy, the high performance of the Riak cluster itself, and proper caching settings on the client side, we have a powerful infrastructure on which to build highly scalable applications. More over, we haven’t even touched the incredibly cool things one can do with search and map/reduce on the Riak cluster, or building complex mappings using the links and key filters.

More or less all web accessible NoSQL databases can benefit from a caching proxy. On the other hand, I’d say that it’s worth having an (even basic) internal cache for scenarios where the working data set is smaller than the total amount of data stored.

Original title and link: Varnish Cache + Riak (NoSQL databases © myNoSQL)