Greenplum Database 3.3


Greenplum Database is a software solution built to support the next generation of data warehousing and large-scale analytics processing. Supporting SQL and MapReduce parallel processing, Greenplum Database offers industry-leading performance at a low cost for companies managing Terabytes to Petabytes of data.

Greenplum Database utilizes a shared-nothing MPP (massively parallel processing) architecture optimized for business intelligence and analytical processing. It allows a cluster of servers to operate as a single database supercomputer -- automatically partitioning data and parallelizing queries -- to achieve performance 10s or 100s of times of faster than traditional databases.

Greenplum Database 3.3 provides:

  • Extreme scale on commodity hardware
    • From low TBs to the largest multi-Petabyte data warehouses -- scale is no longer a barrier
    • Flexible hardware vendor choices include HP, Dell, Sun, EMC and IBM
  • Elastic expansion and sandboxing
    • Add servers while online for more storage capacity and performance (- no costly appliance upgrades)
    • Supports agile data warehousing practices -- easily create private sandboxes for business analysts
  • Massively parallel analytic processing
    • Unified parallel engine supports SQL and MapReduce processing across 100s or 1000s of CPU cores
    • Comprehensive SQL support (SQL-92, SQL-99, SQL-2003 OLAP extensions)

    Register to Download Greenplum Database 3.3 >

    Greenplum Database moves processing power as close as possible to the data, so processing always occurs in parallel, delivering unmatched query and load performance. Greenplum Database is simply the industry's fastest and most affordable high-end data warehousing solution. With Greenplum Database, users will have the power to answer complex questions, running analyses that used to take days with traditional solutions, in literally just seconds.

     




Videos
Briefing on the Petabyte Future and the next generation database.
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mapreduce demo
Technical Overview of MapReduce - with MapReduce Demos.
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Database thought leaders discuss state of development.
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Luke Lonergan on achieving large scale analytics.
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Customers help shape the next generation of Greenplum Database.
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