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



Joyent Solution for Hadoop Is About Speed

As with Riak’s hosting on Engine Yard, I’ve been wondering what Joyent solution for Hadoop is about. John Rath writes for DataCenterKnowledge:

Software product development services company Altoros Systems said that Hadoop clusters on Joyent Cloud produced a nearly 3X faster disk I/O response time versus identically-sized infrastructure. Through the use of the Joyent operating system virtualization and CPU bursting technology, Joyent says it is able to extract better response times and deliver results to data scientists and analysts faster.

Original title and link: Joyent Solution for Hadoop Is About Speed (NoSQL database©myNoSQL)