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



Cloudera Impala Brings SQL Querying To Hadoop

InformationWeek about today’s Impala 1.0 release:

Impala supports direct querying of data in the Hadoop Distributed File System (HDFS) and HBase (NoSQL database) indexes, and Cloudera claims it’s 3X to 30X faster than Hive. Beta customers report results that are falling into that range. Six3 Systems, for example, a systems integrator serving federal agencies, has seen at least 14X faster querying than Hive, according to analytics developer Wayne Wheeles.

Original title and link: Cloudera Impala Brings SQL Querying To Hadoop (NoSQL database©myNoSQL)