Netezza

Analysis of Netezza and its data warehouse appliances. Related subjects include:

September 27, 2010

Further thoughts on previous posts

One thing I love about DBMS 2 is the really smart comments a number of readers — that would be you guys — make. However, not all the smart comments are made in the first 5 minutes a post is up, so some readers (unless you circle back) might miss great points other readers make. Well, here are some pointers to some of what you might have missed, along with other follow-up comments to old posts while I’m at it. Read more

September 20, 2010

Some thoughts on the announcement that IBM is buying Netezza

As you’ve probably read, IBM and Netezza announced a deal today for IBM to buy Netezza. I didn’t sit in on the conference call, but I’ve seen the reporting. Naturally, I have some quick thoughts, which I’ve broken up into several sections below:

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August 18, 2010

DB2 workload management

DB2 has added a lot of workload management features in recent releases. So when we talked Tuesday afternoon, Tim Vincent and I didn’t bother going through every one. Even so, we covered some interesting subjects in the area of DB2 workload management, including:  Read more

June 26, 2010

Netezza’s version of EnterpriseDB-based Oracle compatibility

EnterpriseDB has some deplorable business practices (my stories of being screwed by EnterpriseDB have been met by “Well, you’re hardly the only one”). But a couple of more successful DBMS vendors have happily partnered with EnterpriseDB even so, to help pick off Oracle users. IBM’s approach was in the vein of an EnterpriseDBinfused version of SQL handling within DB2.* Netezza just announced an EnterpriseDB-based Netezza Migrator that is rather different.

*The comment threads are the most informative parts of those posts.

I’m a little unclear as to the Netezza Migrator details, not least because Netezza folks don’t seem to care too much about Netezza Migrator themselves. That said, the core ideas of Netezza Migrator are:  Read more

June 25, 2010

Flash is coming, well …

I really, really wanted to title this post “Flash is coming in a flash.” That seems a little exaggerated — but only a little.

Uptake of solid-state memory (i.e. flash) for analytic database processing will probably stay pretty low in 2010, but in 2011 it should be a notable (b)leading-edge technology, and it should get mainstreamed pretty quickly after that.  Read more

June 23, 2010

My talk this morning

Netezza’s Enzee Universe conference is now almost over, and I still haven’t figured out what my gig as “conference blogger” entails. More precisely, I’m operating from our unspoken fallback plan, namely “If all else fails, do what you’d do anyway, but do more of it.” For me to live up to that, all Netezza had to do was find interesting things to write about — and as far as I’m concerned, they already did that last Thursday in spades; the five interesting meetings they set up for with users and partners on Tuesday were just gravy.

Another part of the deal was that I’d give a talk this morning at 9:30 am. And when I give talks, I like to put up posts that cover whatever material I haven’t written up before, while also offering the talk’s listeners convenient links to materials I have already covered previously at length.

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June 21, 2010

What kinds of data warehouse load latency are practical?

I took advantage of my recent conversations with Netezza and IBM to discuss what kinds of data warehouse load latency were practical. In both cases I got the impression:

There’s generally a throughput/latency tradeoff, so if you want very low latency with good throughput, you may have to throw a lot of hardware at the problem.

I’d expect to hear similar things from any other vendor with reasonably mature analytic DBMS technology. Low-latency load is a problem for columnar systems, but both Vertica and ParAccel designed in workarounds from the getgo. Aster Data probably didn’t meet these criteria until Version 4.0, its old “frontline” positioning notwithstanding, but I think it does now.

Related link

June 21, 2010

The Netezza and IBM DB2 approaches to compression

Thursday, I spent 3 ½ hours talking with 10 of Netezza’s more senior engineers. Friday, I talked for 1 ½ hours with IBM Fellow and DB2 Chief Architect Tim Vincent, and we agreed we needed at least 2 hours more. In both cases, the compression part of the discussion seems like a good candidate to split out into a separate post. So here goes.

When you sell a row-based DBMS, as Netezza and IBM do, there are a couple of approaches you can take to compression. First, you can compress the blocks of rows that your DBMS naturally stores. Second, you can compress the data in a column-aware way. Both Netezza and IBM have chosen completely column-oriented compression, with no block-based techniques entering the picture to my knowledge. But that’s about as far as the similarity between Netezza and IBM compression goes.  Read more

June 21, 2010

Netezza’s silicon balance

As I’ve mentioned in a couple of other posts, Netezza is stressing that the most recent wave of its technology is software-only, with no hardware upgrades made or needed. In other words, Netezza boxes already have all the silicon they need. But of course, there are really at least three major aspects to the Netezza silicon story – FPGA (Field-Programmable Gate Array), CPU, and RAM.

The major parts of Netezza’s FPGA software are:

If I understood correctly, each Netezza FPGA has two each of the engines in parallel.

Related link

June 21, 2010

A partial overview of Netezza database software technology

Netezza is having its user conference Enzee Universe in Boston Monday–Wednesday, June 21-23, and naturally will be announcing new products there, and otherwise providing hooks and inducements to get itself written about. (The preliminary count is seven press releases in all.) To get a head start, I stopped by Netezza Thursday for meetings that included a 3 ½ hour session with 10 or so senior engineers, and have exchanged some clarifying emails since.  Read more

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