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



Sybase: Distributed Shared-everything MPP Query Processing Architecture

Using an MPP shared-everything architecture, Sybase IQ 15.3 PlexQ Distributed Query Platform surpasses typical shared-nothing MPP architectures with better concurrency, self service ad-hoc queries, and independent scale out of compute and storage resources. With this architecture, PlexQ can exceed Service Level Agreements (SLAs) through simple and flexible resource provisioning that allows nodes to be grouped together as unified images that can be assigned to different application profiles.

Is this going against what the web, MapReduce, Hadoop, and (some) NoSQL databases are teaching us?

Update: I realized that my question above can be misinterpreted so here are my real questions:

  1. How does this shared-everything model work?
  2. What are the pros/cons of this shared-everything approach?

Markus ‘maol’ Perdrizat

Original title and link: Sybase: Distributed Shared-everything MPP Query Processing Architecture (NoSQL databases © myNoSQL)