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



Picking the Right Platform: Big Data or Traditional Warehouse?

Stephen Swoyer (tdwi) is summarizing Richard Winter’s research into the topic of cost-based efficiency of Hadoop vs data warehouses:

“Under what circumstances, in fact, does Hadoop save you a lot of money, and under what circumstances does a data warehouse save you a lot of money?”

The conversation happened at a Teradata event, so you might already guess some of the findings. Anyways without seeing the data it’s difficult to agree or disagree:

In fact, he argued that misusing Hadoop for some types of decision support workloads could cost up to 2.8x more than a data warehouse.

Original title and link: Picking the Right Platform: Big Data or Traditional Warehouse? (NoSQL database©myNoSQL)