June 16, 2009

Aster Data on parallelism

Aster Data’s core claim boils down to “We do parallelism better.” Aster has shied away from saying that for marketing purposes, for fear of the response “Yeah, right, everybody says that.” But when I talked with Mayank Bawa, Steve Wooledge, et al. yesterday, I focused discussions on just that point. Based on that chat and others before, here are some highlights (as I understand them) of what Aster claims, believes, or believes to be differentiated about its nCluster technology:

And by the way, Aster Data claims that better parallelism doesn’t matter just for huge databases. Rather, it’s important even for small numbers of nodes, due to overhead in parallel processing among even a couple of nodes.

Comments

3 Responses to “Aster Data on parallelism”

  1. Dave Kellogg on June 18th, 2009 11:55 am

    Hi Curt,

    I’m glad you’re talking to these guys. From what I’ve learned about, I tend to believe the claims. To me, it seems like an appliance-less data warehouse appliance that installs fast on commodity hardware and clusters well.

    Cheers,
    Dave

  2. Curt Monash on June 18th, 2009 4:23 pm

    Hi Dave!

    I talk to Aster quite a bit, and like them a lot. I’ve just been a little remiss in writing about them.

  3. Aster Data enters the appliance game | DBMS2 -- DataBase Management System Services on June 29th, 2009 12:43 am

    […] don’t have a lot more to add right now, mainly because I wrote at some length about Aster’s non-appliance-specific, non-MapReduce technology and positioning a couple of weeks ago. Categories: Analytic technologies, Aster Data, Business intelligence, Data […]

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