July 26, 2007

Dataupia – low-end data warehouse appliances

It’s unfortunate that Dataupia has concepts like “Utopia” and “Satori” in its marketing, as those serve to obscure what the company really offers – data warehouse appliances designed for the market’s low end. Indeed, it seems that they’re currently very low-end, because they were just rolled out in May and are correspondingly immature.

Basic aspects include:

Beyond price, Dataupia’s one big positive differentiation vs. alternative products is that you don’t write SQL directly to a Dataupia appliance. Rather, you talk to it through the federation capability in your big-brand DBMS, such as Oracle or SQL*Server. Benefits of this approach include:

Data points about how far along Dataupia is include:

So what are Dataupia’s prospects for success? Well, they don’t seem to have much going for them – at least versus the other vendors with the same (and correct) architectural approach – other than:

A. Low-end/OEM focus.
B. Big-brand transparency.

The more I think about it, the more I like the latter feature. But it’s also not a big problem for anybody else to implement. E.g., just write or license a PL-SQL interpreter or compiler, and you’re most of the way there. I’m sure Ants Software would be eager to help you out; maybe EnterpriseDB could be persuaded as an alternative supplier as well.

So Dataupia’s chances for success boil down mainly to good channel management. OEMs, service provider partners for the enterprise – at least one of those two channels has to blossom for them. Frankly, it’s a bit of a long shot.

On the other hand, they’d make a great acquisition for a BI company or DBMS vendor who could then say “Oh, no, this isn’t a DBMS appliance – it’s merely a data warehouse accelerator.” When you look at it that way, their chances of prospering look distinctly higher.


3 Responses to “Dataupia – low-end data warehouse appliances”

  1. DBMS2 — DataBase Management System Services » Blog Archive » A quick survey of data warehouse management technology on April 25th, 2008 12:09 am

    […] but optimize them for analytic workloads. These include Teradata, Netezza, DATAllegro, Greenplum, Dataupia, and SAS. All of those except SAS are wholly or primarily vendors of MPP/shared-nothing data […]

  2. Infology.Ru » Blog Archive » Быстрый обзор технологий хранилищ данных on March 24th, 2009 12:25 pm

    […] нагрузки. Среди них Teradata, Netezza, DATAllegro, Greenplum, Dataupia, и SAS. Все они, за исключением SAS целиком или в основном […]

  3. Dataupia is officially for sale | DBMS2 -- DataBase Management System Services on August 6th, 2009 12:10 am

    […] Two years ago I wrote: […]

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