Oracle
Analysis of software titan Oracle and its efforts in database management, analytics, and middleware. Related subjects include:
- Oracle TimesTen
- (in The Monash Report)Operational and strategic issues for Oracle
- (in Software Memories) Historical notes on Oracle
- Most of what’s written about in this blog
What leading DBMS vendors don’t want you to realize
For very high-end applications, the list of viable database management systems is short. Scalability can be a problem. (The rankings of most scalable alternatives differ in the OLTP and data warehouse realms.) Extreme levels of security can be had from only a few DBMS. (Oracle would have you believe there’s only one choice.) And if you truly need 99.99% uptime, there only are a few DBMS you even should consider.
But for most applications at any enterprise – and for all applications at most enterprises – super high-end DBMS aren’t required. There are relatively few applications that wouldn’t run perfectly well on PostgreSQL or EnterpriseDB today. Ingres and Progress OpenEdge aren’t far behind (they’re a little lacking in datatype support). Ditto Intersystems Cache’, although the nonrelational architecture will be off-putting to many. And to varying degrees, you can also do fine with MySQL, Pervasive PSQL, MaxDB, or a variety of other products – or for that matter with the cheap or free crippled versions of Oracle, SQL Server, DB2, and Informix.
What’s more, these mid-range database management systems can have significant advantages over their high-end brethren. Read more
The other shoe finally drops for Oracle and BEA
As previously noted, I’ve been writing about an Oracle/BEA merger since 2002. So like many observers, I find I have little more to say on the subject. Let’s go straight to the bullet points: Read more
| Categories: HP and Neoview, IBM and DB2, Oracle, Oracle TimesTen, SAP AG | 2 Comments |
Intelligent Enterprise’s list of 12/36/48 vendors
I’m getting a flood of press releases today, because many of the companies I write about were selected to Intelligent Enterprise’s list of 12 most influential vendors plus 36 more to watch in the areas Intelligent Enterprise covers (which seems to be pretty much the analytics-related parts of what I write about here and on Text Technologies). It looks like a pretty reasonable list, although I think they forced the issue in some of the small analytics vendors they selected, and of course anybody can quibble with some of the omissions.
Among the companies they cited, you can find topical categories here for IBM (and Cognos), Informatica, Microsoft, Netezza, Oracle, SAP/Business Objects (both), SAS, and Teradata; QlikTech; Cast Iron, Coral8, DATAllegro, HP, ParAccel, and StreamBase; and Software AG. On Text Technologies you’ll find categories for some of the same vendors, plus Attensity, Clarabridge, and Google. There also are categories for some of these vendors on the Monash Report.
Optimizer geekdom
I’ve been a DBMS analyst since before there were cost-based optimizers or, for that matter, a whole lot of relational DBMS. And in the 20 years that optimizers have been around, I’ve never fully understood why they’re so simple-minded. Even so, I think they’re pretty cool, as per the fanboyish discussion in this 2004 Computerworld column.
So I’m delighted to see that the Oracle folks have started a hardcore blog on optimizer details. If you want to get a sense of how smart a leading DBMS is or isn’t, I encourage you to check it out.
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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
Just what does Oracle-compatibility mean?
Quite a bit of DBMS plug-compatibility is being claimed these days. Lewis Cunningham’s post on a few new EnterpriseDB features illustrates just how picky compatibility features can get. One can run Oracle code but not get around to handling comments properly? Sheesh.
| Categories: Emulation, transparency, portability, EnterpriseDB and Postgres Plus, Oracle | Leave a Comment |
ParAccel opens the kimono slightly
Please do not rely on the parts of this post that draw a distinction between in-memory and disk-based operation. See our February 18, 2008 post about ParAccel instead. It turns out that communication with ParAccel was yet worse than I had realized.
Officially launched today at the TDWI conference, ParAccel is out to compete with Netezza. Right out of the chute, ParAccel may have surpassed Netezza in at least one area: pointlessly annoying secrecy. (In other regards I love them dearly, but that paranoia can be a real pain.) As best I can remember, here are some things about ParAccel that I both am allowed to say and find interesting:
- ParAccel offers a columnar, MPP data warehouse DBMS, called the ParAccel Analytic Database.
- ParAccel’s product runs in two main modes. “Maverick” is normal, stand-alone mode. “Amigo” mode amounts to a plug-compatible accelerator for Oracle or Microsoft SQL*Server. Early sales and marketing were concentrated on SQL*Server Amigo mode.
- ParAccel’s product also runs in another pair of modes – in-memory and disk-based. Early sales and marketing were concentrated on in-memory mode. Hybrid memory-centric processing sounds like something for a future release.
- Sun has a reseller partnership with ParAccel, focused on in-memory mode.
- Sun and ParAccel published record-shattering 100 gigabyte, 300 gigabyte, and 1 terabyte TPC-H benchmarks today, based on in-memory mode. (If you’d like to throw 13 terabytes of disk at 1 terabyte of user data, running simple and repetitive queries, that benchmark might be a useful guide to your own experience. But hey – that’s a big improvement on the prior champion, who used 40 terabytes of disk. To ParAccel’s credit, they’re not pretending that this is a bigger deal than it is.)
Dude, you stole my joke!
October 15: We know what BEA is — now it is just a matter of negotiating the price
October 25: We’ve already established what you are, now we’re just working out a price
The news in the latter is that BEA has admitted it.
Note: Of course, the original joke is so old as to be variously attributed to all of George Bernard Shaw (most credibly), Winston Churchill, and Oscar Wilde.
| Categories: Application servers, Humor, Oracle | Leave a Comment |
One Greenplum customer — 35 terabytes and growing fast
I was at the Business Objects conference this week, and as usual went to very few sessions. But one I did stroll into was on “Managing Rapid Growth With the Right BI Strategy.” This was by Reliance Telecommunications, an outfit in India that is adding telecom subscribers very quickly, and consequently banging 100-150 gigs of data per day into a 35 terabyte warehouse.
The beginning of the talk astonished me, as the presenter seemed to be saying they were doing all this on Oracle. Hah. Oracle is what they moved away from; instead, they got Greenplum. I couldn’t get details; indeed, as a BI guy he was far enough away from DBMS to misspeak and say that Greenplum was brought in by ‘HP’, before quickly correcting himself when prompted. Read more
| Categories: Analytic technologies, Business Objects, Data warehouse appliances, Data warehousing, Greenplum, Oracle, Specific users, Telecommunications | Leave a Comment |
Gartner 2007 Magic Quadrant for Data Warehouse Database Management Systems
February, 2011 edit: I’ve now commented on Gartner’s 2010 Data Warehouse Database Management System Magic Quadrant as well.
It’s early autumn, the leaves are turning in New England, and Gartner has issued another Magic Quadrant for data warehouse DBMS. (Edit: As of January, 2009, that link is dead but this one works.) The big winners vs. last year are Greenplum and, secondarily, Sybase. Teradata continues to lead. Oracle has also leapfrogged IBM, and there are various other minor adjustments as well, among repeat mentionees Netezza, DATAllegro, Sand, Kognitio, and MySQL. HP isn’t on the radar yet; ditto Vertica. Read more