Teradata
Analysis of data warehousing giant Teradata. Related subjects include:
Soundbites about Mark Hurd joining Oracle
I’m on “vacation”, so I don’t know how timely I’ll be in getting back to reporters with quotes on Mark Hurd’s new job at Oracle. I put “vacation” in quotes because my father has been in a coma for over a week back in Ohio; I’m getting stonewalled for information about his and especially about my senile mother’s condition (while there’s a support structure making sure nothing too ridiculous happens, the whole thing has been even harder to block out for a while than if a full set of medical ethics were being used); Linda arrived here with an injury that has largely wrecked the vacation for her (if we had confidence in the local doctors we’d be seeing them for sure, and may yet see them anyway); and the mix of lesser factors is otherwise normal — great place, I took way too much work with me and had clients demanding more, connectivity was deplorable and is still unreliable (this post has been spread out over several hours by yet another connectivity outage), and weather has been a pleasant surprise to date (but clearly I’m benefiting from it a lot less than usual).
My thoughts on Mark Hurd (who I’ve never met) joining Oracle include:
- Mark Hurd is one of the least successful leaders in the modern history of the DBMS industry.
- Mark Hurd presided over Teradata while Teradata allowed a bunch of smaller competitors to grow up.
- Mark Hurd was said to be the prime mover behind HP Neoview, which has been an epic failure.
- Mark Hurd was in charge of HP when HP lost the Exadata business to Sun, and it’s not clear that the loss was just because Oracle bought Sun.
- Mark Hurd seems to have done poorly running services businesses at HP as well, at least in terms of their reputations.
- None of this means that Mark Hurd can’t do a good job on the volume-hardware side of Oracle. Nor does it seem likely that Hurd would get the power to gut Oracle’s R&D the way he is reputed to have gutted HP’s. And by the way, the investment in the HP Neoview fiasco shows that Hurd didn’t COMPLETELY gut R&D at HP either.
- The Mark Hurd hire is a signal that Oracle is very serious about hardware/software integration. Notwithstanding any of the foregoing, Hurd can surely talk the hardware/software integration game. And one can reasonably spin Hurd’s HP Neoview failure as a high-desire, low-odds attempt to get into the database software/hardware stack business.
- The time to assess whether Oracle will continue with the hardware/software integration emphasis will be when Mark Hurd leaves. Just as Ray Lane’s departure coincided with a reversal of the software/services integration strategy he so successfully championed, Hurd’s eventual departure could signal a backing off from emphasizing a software/hardware stack.
- Mark Hurd’s sexual harassment problems sound similar to Al Gore’s:
- He got services of the sort that are often a euphemism (massage in Gore’s case, escort in Hurd’s).
- The provider(s) just wanted to provide the real thing, not the euphemistic part as well.
- Unpleasantness ensued.
| Categories: Data warehouse appliances, Exadata, HP and Neoview, Oracle, Teradata | 12 Comments |
Teradata’s future product strategy
I think Teradata’s future product strategy is coming into focus. I’ll start by outlining some particular aspects, and then show how I think it all ties together.
Read more
| Categories: Business intelligence, Data warehouse appliances, Data warehousing, Kickfire, MicroStrategy, Solid-state memory, Storage, Teradata | 5 Comments |
Teradata, Xkoto Gridscale (RIP), and active-active clustering
Having gotten a number of questions about Teradata’s acquisition of Xkoto, I leaned on Teradata for an update, and eventually connected with Scott Gnau. Takeaways included:
- Teradata is discontinuing Xkoto’s existing product Gridscale, which Scott characterized as being too OLTP-focused to be a good fit for Teradata. Teradata hopes and expects that existing Xkoto Gridscale customers won’t renew maintenance. (I’m not sure that they’ll even get the option to do so.)
- The point of Teradata’s technology + engineers acquisition of Xkoto is to enhance Teradata’s active-active or multi-active data warehousing capabilities, which it has had in some form for several years.
- In particular, Teradata wants to tie together different products in the Teradata product line. (Note: Those typically all run pretty much the same Teradata database management software, except insofar as they might be on different releases.)
- Scott rattled off all the plausible areas of enhancement, with multiple phrasings – performance, manageability, ease of use, tools, features, etc.
- Teradata plans to have one or two releases based on Xkoto technology in 2011.
Frankly, I’m disappointed at the struggles of clustering efforts such as Xkoto Gridscale or Continuent’s pre-Tungsten products, but if the DBMS vendors meet the same needs themselves, that’s OK too.
The logic behind active-active database implementations actually seems pretty compelling: Read more
| Categories: Clustering, Continuent, Data warehousing, Solid-state memory, Teradata, Theory and architecture, Xkoto | 9 Comments |
Kickfire unlikely to survive
Following up on a previous report of Kickfire’s troubles — a Kickfire customer tipped me off that Kickfire told him they’re selling their IP and engineers, and the Kickfire products will be discontinued.
At this time, I have no idea who the lucky buyer is.
Edit: We now know it’s Teradata.
| Categories: Data warehouse appliances, Kickfire, Teradata | 12 Comments |
Best practices for analytic DBMS POCs
When you are selecting an analytic DBMS or appliance, most of the evaluation boils down to two questions:
- How quickly and cost-effectively does it execute SQL?
- What analytic functionality, SQL or otherwise, does it do a good job of executing?
And so, in undertaking such a selection, you need to start by addressing three issues:
- What does “speed” mean to you?
- What does “cost” mean to you?
- What analytic functionality do you need anyway?
| Categories: Benchmarks and POCs, Data warehousing, Exadata, Netezza, ParAccel, Teradata | 7 Comments |
Clarifying the state of MPP in-database SAS
I routinely am briefed way in advance of products’ introductions. For that reason and others, it can be hard for me to keep straight what’s been officially announced, introduced for test, introduced for general availability, vaguely planned for the indefinite future, and so on. Perhaps nothing has confused me more in that regard than the SAS Institute’s multi-year effort to get SAS integrated into various MPP DBMS, specifically Teradata, Netezza Twinfin(i), and Aster Data nCluster.
However, I chatted briefly Thursday with Michelle Wilkie, who is the SAS product manager overseeing all this (and also some other stuff, like SAS running on grids without being integrated into a DBMS). As best I understood, the story is: Read more
| Categories: Aster Data, Data warehouse appliances, MapReduce, Netezza, Parallelization, Predictive modeling and advanced analytics, SAS Institute, Specific users, Teradata | 11 Comments |
Is the enterprise data warehouse a myth?
An enterprise data warehouse should:
- Manage data to high standards of accuracy, consistency, cleanliness, clarity, and security.
- Manage all the data in your organization.
Pick ONE. Read more
| Categories: Data models and architecture, Data warehousing, Database diversity, Teradata, Theory and architecture | 8 Comments |
Some business trends in the data warehouse market
In recent conversations with various analytic DBMS vendors, a fairly consistent picture has emerged.
- Business is strong. Multiple vendors claim to be going gangbusters, with the happy sounds coming out of Vertica and Infobright being echoed by several competitors. Hearsay suggests some other companies in related businesses are doing well too. Depending on who you talk to, the business pickup dates back to Q4, give or take a quarter.
- Oracle Exadata has become a formidable competitor, on the strength of Exadata 2. Exadata 2’s positioning and perception among Oracle users seem to be pretty much in line with what Oracle portrayed to me.
- Teradata is portrayed as a weak competitor. Competitors don’t worry about Teradata nearly as much as they do about Oracle. That said, I suspect a bit of wishful thinking; Teradata is clearly still getting a lot of business the other vendors would dearly love to have.
- HP Neoview is reeling. (Almost) nobody sees Neoview competitively. The Walmart Neoview installation is said to have stayed small at best. JP Morgan Chase is said to have completely thrown Neoview out (and a bunch of HP engineers with it).
- (Almost) nobody mentions competing against DB2 either. This continues to baffle me.
| Categories: Analytic technologies, Data warehousing, Exadata, HP and Neoview, IBM and DB2, JPMorgan Chase, Market share and customer counts, Oracle, Teradata | 4 Comments |
February 2010 data warehouse DBMS news roundup
February is usually a busy month for data warehouse DBMS product releases, product announcements, and other real or contrived data warehouse DBMS news, and it can get pretty confusing trying to keep those categories of “news” apart.* This year is no exception, although several vendors – including Teradata and Netezza – are taking “rolling thunder” approaches, doing some of their announcements this month while holding others back for March or April.
*I probably have it worse than most people in that regard, because my clients run tentative feature lists and announcement schedules by me well in advance, which may get changed multiple times before the final dates roll around. I also occasionally miss some detail, if it wasn’t in a pre-briefing but gets added at the end.
Anyhow, the three big themes of this month’s announcements are probably:
- Integrating different kinds of analytic processing into databases and DBMS.
- Taking advantage of hardware advances.
- Playing catchup in areas where small vendors’ products weren’t mature yet.
| Categories: Analytic technologies, Aster Data, Data warehousing, Netezza, Teradata, Vertica Systems | Leave a Comment |
TwinFin(i) – Netezza’s version of a parallel analytic platform
Much like Aster Data did in Aster 4.0 and now Aster 4.5, Netezza is announcing a general parallel big data analytic platform strategy. It is called Netezza TwinFin(i), it is a chargeable option for the Netezza TwinFin appliance, and many announced details are on the vague side, with Netezza promising more clarity at or before its Enzee Universe conference in June. At a high level, the Aster and Netezza approaches compare/contrast as follows: Read more