Alex, Viktor,

i think write semantics could get complicated quickly, actually. However, i
was initially responding to the idea that trad business object models don't
give way to analytics. Being able to make read-only queries against large
volumes of data using the original business object schema seems to me like a
win -- even if it's only used to populate a db that's sliced up in a
different way for further analytics processing.

Best wishes,

--greg

On Wed, Jul 22, 2009 at 2:44 PM, Alex Cruise <[email protected]> wrote:

>
> Viktor Klang wrote:
> > Absolutely, perhaps I'm tainted by write-heavy systems and perhaps I'm
> > just failing to see the overhead we're talking about.
> > Perhaps I overlooked it, but the paper didn't mention performance for
> > small writes and potentially multiple nodespanning transactions.
> HadoopDB makes no claim to any support for writes at all, I'm just
> speculating that It Should Be Possible given my understanding of its
> architecture, which is admittedly limited and based solely on reading
> the paper and a bit of the code. :)
> > I'm inclined to believe that some sort of immutable records storage
> > would simlify the semantics (analytic queries are IMHO very seldom
> > demanding real-time snapshots)
> Analytical queries against static data are exactly what it's for.  I
> have no experience with its competition, namely parallel/distributed
> column-oriented databases, so I can't say whether they're any happier
> with writes.
>
> FYI I brought up HadoopDB on the NoSQL list too but so far not too many
> takers...
>
> -0xe1a
>
> >
>


-- 
L.G. Meredith
Managing Partner
Biosimilarity LLC
1219 NW 83rd St
Seattle, WA 98117

+1 206.650.3740

http://biosimilarity.blogspot.com

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