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9.22.2008
By implementing spatial capabilities at the SPU level, Netezza not only
becomes a contender in this market but it can offer significant advantages, notably in performance and administrative terms. Read
the full story |
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8.14.2008
Netezza's (NYSE: NZ) deal with Intelligent Integration Systems (IISi), which follows the $6.4m acquisition of NuTech Solutions in May, sees the company striking its first technology-driven transaction, as the NuTech buy was all about increasing scientific and engineering expertise in complex analytics. Read
the full story |
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12.17.2007
In its press release Netezza refers to improvements of
100% but in fact performance may be significantly better
even than that. Read
the full story |
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10.9.2007
So the bottom line is not just that Netezza's entry into
the market was a black swan event but that that event
has not ceased to unfold. Major vendors often damn Netezza
with faint praise: "yes, they've done a good job
but..." as if they were a petty irritant that will
sooner or later go away. Well, they had better wake up
and smell the coffee. Read
the full story |
 |
10.5.2007
Finally, the interesting question is whether any of Netezza's
competitors can match this sort of capability? Certainly,
some of them are already talking about Edge Appliances.
However, their architectures are such that they have nothing
equivalent to an SPU. Read
the full story |
 |
9.26.2007
Netezza has shifted its focus to analytics with a data
warehouse appliance being one system in a range of analytic
appliances it now plans to deliver. In effect, the company
wants to move analytic functions currently handled at
the application level, for example, into the database
within a Netezza box. Read
the full story |
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1.10.2007
Data warehouse appliance vendor Netezza is earning its
stripes in the retail sector against larger competitors
by going public with case studies like its work with high-end
retailer Neiman Marcus. Read
the full story |
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1.2007
On the basis of what we have heard so far, we believe
that Netezza has happy and successful customers operating
on a scale that reaches into the 35+ terabyte range.
Read
the full story |
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