Dataupia
Analysis of data warehouse appliance vendor Dataupia and its products. Related subjects include:
Two lessons from Dataupia’s troubles
I’ve been beating my head against the wall trying to convince startups of two well-established truisms:
- Experience consistently shows that the demand for transparency/emulation features isn’t as great as entrepreneurs hope.
- If a startup’s competitors sell directly to enterprises, an indirect sales strategy rarely succeeds.
Maybe one or the other will learn from Dataupia’s example.
Dataupia’s troubles are now confirmed
Todd Fin pointed me yesterday to an article by Wade Roush that confirmed in detail layoffs and other troubles at Dataupia. The article quotes Dataupia marketing VP Samantha Stone as saying Dataupia is down to 23 employees, and that some of the layoffs were in engineering. This is consistent with what I’d been hearing for a while, namely that other analytic DBMS vendors were seeing a flood of Dataupia resumes, especially technical ones.
The article goes on to discuss difficulties Dataupia has had in raising another round of financing. During Dataupia’s very long CEO search — which I kept hearing about from people who’d been approached for the job — it was obvious money wouldn’t come in until a CEO was found. But it seems that even with a new CEO, existing investors are reluctant to re-up without a new investor as well, and that new investment is slow in happening.
On the plus side, the article quotes Samantha as saying founder Foster Hinshaw is recovering well from his heart surgery.
| Categories: Data warehouse appliances, Data warehousing, Dataupia, Emulation, transparency, portability | 2 Comments |
DBMS transparency layers never seem to sell well
A DBMS transparency layer, roughly speaking, is software that makes things that are written for one brand of database management system run unaltered on another.* These never seem to sell well. ANTs has failed in a couple of product strategies. EnterpriseDB’s Oracle compatibility only seems to have netted it a few sales, and only a small fraction of its total business. ParAccel’s and Dataupia’s transparency strategies have produced even less.
*The looseness in that definition highlights a key reason these technologies don’t sell well — it’s hard to be sure that what you’re buying will do a good job of running your particular apps.
This subject comes to mind for two reasons. One is that IBM seems to have licensed EnterpriseDB’s Oracle transparency layer for DB2. The other is that a natural upgrade path from MySQL to Oracle might be a MySQL transparency layer on top of an Oracle base.
| Categories: ANTs Software, Dataupia, Emulation, transparency, portability, EnterpriseDB and Postgres Plus, IBM and DB2, Market share, MySQL, Oracle, ParAccel | 9 Comments |
Declaration of Data Independence (humor)
The data warehouse appliance industry has a well-developed funny bone. Dataupia’s contribution is a Declaration of Data Independence, which begins:
When in the Course of an increasingly competitive global economy it becomes necessary for one data set to dissolve its connections to a constraining environment, the separate but inherently unequal station to which the Laws of Whose budget is larger prevails.
Related links:
- Cartoons from DATAllegro
- April Fool press release from Netezza
| Categories: Analytic technologies, Data warehouse appliances, Data warehousing, Dataupia | Leave a Comment |
Oracle’s hefty price increases
Jeff Jones of IBM wrote in to point out that Oracle is slathering on the price increases. I quote: Read more
| Categories: Dataupia, Emulation, transparency, portability, EnterpriseDB and Postgres Plus, Oracle | 5 Comments |
Positioning the data warehouse appliances and specialty DBMS
There now are four hardware vendors that each offer or seem about to announce two different tiers of data warehouse appliances: Sun, HP, EMC, and Teradata. Specifically:
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Sun partners with both Greenplum and ParAccel.
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HP sells Neoview, and also is partnered with Vertica.
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EMC (together with Dell in North America and Bull in Europe) sells DATAllegro. Now EMC is also entering a partnership with ParAccel.
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Teradata is pretty far down the road toward releasing a low-end product.
Dataupia catch-up
I had a catch-up phone meeting with Dataupia, since I hadn’t spoke with the company since the middle of last year. Like several other companies in the data warehouse specialist market, Dataupia can be annoyingly secretive. On the plus side – and this is very refreshing — Dataupia doesn’t seem to expect credit for accomplishments beyond those they’re willing to provide actual evidence for.
What I’ve gleaned about Dataupia’s customer activity to date amounts to: Read more
| Categories: Analytic technologies, Data warehouse appliances, Data warehousing, Dataupia, Emulation, transparency, portability | 1 Comment |
A quick survey of data warehouse management technology
There are at least 16 different vendors offering appliances and/or software that do database management primarily for analytic purposes.* That’s a lot to keep up with,. So I’ve thrown together a little overview of the analytic data management landscape, liberally salted with links to information about specific vendors, products, or technical issues. In some ways, this is a companion piece to my prior post about data warehouse appliance myths and realities.
*And that’s just the tabular/alphanumeric guys. Add in text search and you run the total a lot higher.
Numerous data warehouse specialists offer traditional row-based relational DBMS architectures, 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 warehouse appliances. EDIT: See the comment thread for a correction re Kognitio.
Numerous data warehouse specialists offer column-based relational DBMS architectures. These include Sybase (with the Sybase IQ product, originally from Expressway), Vertica, ParAccel, Infobright, Kognitio (formerly White Cross), and Sand. Read more
Three ways Oracle or Microsoft could go MPP
I’ve been arguing for a while that Oracle and Microsoft are screwed in high-end data warehousing. The reason is that they’re stuck with SMP (Symmetric Multi-Processing) architectures, while Teradata, Netezza, DATAllegro, and many others enjoy the benefits of MPP (Massively Parallel Processing). Thus, Teradata and DATAllegro boast installations in the hundreds of terabytes each, while Oracle and Microsoft users usually have to perform unnatural acts of hard-coded partitioning even to reach the 10 terabyte level.
That said, there are at least three ways Oracle and/or Microsoft could get out of this technical box:
1. They could buy or just partner with MPP vendors such as Dataupia, who offer plug-compatibility with their respective main DBMS.
2. They could buy whoever they want, plug-compatibility be damned. Presumably, they’d quickly add a light-weight data federation front-end to give the appearance of integration, then merge the products more closely over time.
3. They could develop or buy technology like DATAllegro’s, which essentially federates instances of an ordinary SMP DBMS across nodes of an MPP grid (Greenplum does something similar). I imagine that, for example, ripping Ingres out of DATAllegro and slotting in Oracle instead would be a pretty straightforward exercise; even without dramatic change to any of the optimizations, the resulting port would be something that ran pretty quickly on Day 1.
Bottom line: Oracle and Microsoft are hemorrhaging at the data warehouse high end now. But there are ways they could stanch the bleeding.
An era of easier database portability?
More and more, I find myself addressing questions of database portability and transparency, most particularly in the cases of EnterpriseDB, Ants Software, and now also Dataupia. None of those three efforts is very large yet, but so far I’d rate their respective buzzes to be very encouraging in the case of EnterpriseDB, non-discouraging or better in the case of Ants, and too early to judge for Dataupia. On the whole, it definitely seems like a matter worthy of attention.
With that as backdrop, where is all this compatibility/portability/transparency stuff going to lead? Read more
| Categories: ANTs Software, Dataupia, Emulation, transparency, portability, EnterpriseDB and Postgres Plus, Progress, Apama, and DataDirect | Leave a Comment |
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:
- Type 1 appliances, which most other data warehouse appliance vendors (Teradata excepted) have moved away from. And there actually seems to be very little special about the hardware design to take advantage of the proprietary opportunity.
- Apparently limited redistribution of intermediate query result sets – i.e, the “fat head” architecture most competitors have moved away from. But it’s not pure fat-head; there’s some data redistribution.
- General lack of partnerships with the obvious software players (but they’re working on that).
- Low price point ($19,500 per 2-terabyte module).
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: Read more
