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Wednesday, 24 November 2010
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Sybase: Distributed Shared-everything MPP Query Processing Architecture

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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)

via: http://www.marketwatch.com/story/sybase-redefines-massively-parallel-processing-mpp-with-increased-analytic-performance-scalability-and-architectural-flexibility-2010-11-09