Is Oracle11g V2 going to have shared-nothing aspects?
One of my favorite DBMS reporters:
- Uncovered convincing rumors that Oracle 11g V2, to be announced next week, will have clustering or “grid” enhancements.
- Uncovered unconvincing rumors that some of these enhancements will address Oracle’s well-known and problematic lack of shared-nothing capabilities.
- Pointed me at a couple of posts that went up and were quickly taken back down from Don Burleson’s site.
More precisely, he pointed me at the Google cache versions of same, which are here and here; obviously, those links will expire at some point. And so I’m reproducing the key parts below, namely: Read more
| Categories: Oracle | 5 Comments |
Teradata sound bites
In connection with Teradata’s attempt to get into the Netezza news cycle with an appliance product announcement, I’ve whipped up a few Teradata-related sound bites suitable for quoting.
- Teradata has been in the data warehouse appliance business since 1984. I’m glad they’re finally admitting it.
- Teradata’s users love them. The users’ bosses, who sign the checks, aren’t as thrilled. Price competition is a big issue for Teradata.
- Teradata pricing has caused some real resistance, and even anger. Price is the big reason some startups are growing so much faster than Teradata. Ease of installation is sometimes a second factor.
- Teradata isn’t going to win many price-per-terabyte shootouts. (Note: I mean price per terabyte of user data.)
- The 5-10X+ performance advantage isn’t as crazy as it sounds, at least for some use cases. Teradata does still get a lot of business, and wins some price/performance shootouts to get it.
- Many Teradata customers are buying newer analytic DBMS as well. But they aren’t throwing out Teradata. Most stories of Teradata replacements are misunderstandings.
- The analytic DBMS startups all still do most of their business supporting data marts. If you have a high-concurrency workload, you usually need more mature technology. That’s where Teradata shines.
- That said, the very largest data warehouses are usually really data marts. High-concurrency BI is usually run against somewhat smaller databases.
- The upper limit for data warehouse sizes is skyrocketing. In 18 months, we’re seeing the largest known production systems go from under 1 petabyte of user data to multiple petabytes.
- Teradata has more competition for the very largest databases than it used to, which are now being found in relatively young web companies even more than in old-line telcos, retailers, or banks.
| Categories: Analytic technologies, Data warehouse appliances, Data warehousing, Teradata | Leave a Comment |
Teradata decides to compete head-on as a data warehouse appliance vendor
In a press release today that is surely timed to impinge on the Netezza user conference news cycle, Teradata has come out swinging. Highlights include:
- Teradata, which long avoided the “appliance” term, now says it sells both “data warehouse appliances” and “data mart appliances.” Indeed, it claims to have “invented the original appliance” — which is pretty close to being true.*
- Teradata claims its “new appliance easily delivers up to 5 to 10 times performance improvement over competitors’ appliances,” at $119,000 per terabyte US list price.
- Teradata claims a 150% faster “scan rate” than competitors. Teradata is surely thinking of Netezza when saying that.
- Teradata claims 10X performance improvement on “selected queries” vs. the “competition.”
- Teradata thinks its geospatial data management capability is better than competitors’, and that this is an important indicator of Teradata’s general overall greater sophistication.
| Categories: Analytic technologies, Data warehouse appliances, Data warehousing, GIS and geospatial, Netezza, Teradata | 4 Comments |
Infobright update
In connection with the announcements that:
- Infobright is open sourcing its analytical DBMS product (which is a really good idea)
- Infobright raised a $10 million VC round, with Sun as a new investor
I got my first real Infobright update since January. Highlights included: Read more
| Categories: Data warehousing, Infobright, MySQL, Open source | 2 Comments |
Infobright’s open source move has a lot of potential
Infobright announced today that it’s going full-bore into open source – specifically in the MySQL ecosystem — with the licensing approach, pricing, distribution strategy, and VC money from Sun that such a move naturally entails. I think this is a great idea, for a number of reasons: Read more
| Categories: Columnar database management, Data warehousing, Infobright, MySQL, Open source | 4 Comments |
Infobright goes open source — sound bites
As has recently become my custom when there is industry news, I herewith provide quotable sound bites about Infobright and its move to an open source strategy. Weather permitting, I’ll be on a plane to the Netezza conference this afternoon. And I’ve only slept about 10 hours since Thursday. So I hope these suffice, although if they don’t and you email me I’ll try to respond by some time Tuesday morning.
- For almost anybody in the MySQL world who needs high-performance analytics, Infobright is the first good solution.
- Infobright’s product strengths and use cases are a great match for open source.
- Most leading analytic DBMS have open source roots, but they generally haven’t been open sourced themselves. Infobright immediately becomes one of the premier open source analytic database offerings. The only serious open source rival that’s coming to mind is MonetDB.
- Storage engines are MySQL’s achilles heel. Each good MySQL storage engine is precious.
- Infobright has enough production references to show that it can get the job done for many data mart uses. It won’t meet everybody’s needs, but it’s well worth an experimental download.
- If you want to build a little data mart and run it yourself, most good products are too complicated or expensive. But in the right use cases, Infobright pretty much runs itself, and there’s no arguing with the Community Edition price (free).
- So Infobright is a great fit for the individual downloader – i.e., for the stereotypical open source user.
- Netezza, DATAllegro, Vertica, ParAccel, Greenplum, and Aster Data are all based in one way or another on PostgreSQL (even though Vertica includes no PostgreSQL code). DATAllegro was based on Ingres. Infobright and Kickfire are based on MySQL.
- If Infobright doesn’t get the job done, try downloading Vertica, which – while closed source – is also free for download and development.
- The “rough set” part of Infobright’s story is a lot of mumbo-jumbo, but the “knowledge grid” part is more real.
- When you compare Infobright to Teradata, Netezza, Greenplum, or even Vertica, it’s kind of a toy. But when you compare it to generic MySQL, it’s more like rocket science.
- Infobright was too little, too late in the mainstream analytic DBMS market. They had to do something different. Kudos to them for recognizing that.
- The Infobright product has some serious limitations. If you want a market that’s willing to adopt a DBMS with serious limitations, the MySQL world is the place for you.
Posts today on open source DBMS
- Infobright’s smart move to open source
- General Infobright update
- Infobright sound bites
- The many faces of open source DBMS
| Categories: Data warehousing, Infobright, MySQL, Open source | 3 Comments |
Introduction to Jaspersoft – the actual business
There were so many numbers in my introductory call with Jaspersoft that I’ve split them out in a separate post. With that out of the way, here’s what’s really going on, per Nick Halsey.
The Jaspersoft Business Intelligence Suite is BI technology designed to be integrated with operational apps. Thus, Jaspersoft says that operational BI is the core of its business. In particular: Read more
| Categories: Business intelligence, Jaspersoft, Open source | 3 Comments |
Jaspersoft numbers
I chatted Friday with marketing VP Nick Halsey of Jaspersoft, which is probably the most successful open source business intelligence company. (That’s based just anecdotally, on mentions. I’d put Pentaho #2, with Talend commonly getting mentioned along with the two BI vendors for its ETL.) I’ll go straight to the numbers, per Nick, before talking in a separate post about what Jaspersoft actually sells.
| Categories: Analytic technologies, Business intelligence, Jaspersoft, Market share and customer counts, Open source, Pricing | 7 Comments |
Top DBMS on Linux
I was looking up George Crump’s blogs in connection with his recent post on SSDs, and I stumbled upon one that outlines at great length what features Linux backup systems should have. I won’t claim to have read it word for word, but what did catch my eye were a couple of comments on DBMS market share, which boiled down to:
- Oracle
- MySQL
- PostgreSQL
| Categories: IBM and DB2, Market share and customer counts, MySQL, Oracle, PostgreSQL | Leave a Comment |
Some Netezza customer metrics
From the conference call based on Netezza’s July, 2008 Q1, as of the end of Q1:
- There are now 191 Netezza customers.
- 18 of those were new.
- 78% of Netezza’s business was in North America and 22% was international.
- Netezza operates in 10 countries.
- “The top 4 vertical markets represented approximately 75% of our business, with those markets being telcos, retail, financial services, and the analytic service provider segment. “
- One analytic service provider was greater than 10% of revenue for the quarter, and is expected to keep buying a lot in subsequent quarters. Also, one analytic service provider standardized on Netezza. I’m guessing that’s the same customer.
- “We ended the quarter with 45 [quota] carrying teams made up of a sales rep and a systems engineer and our plan is to continue to hire direct sales teams at the pace of 3 to 5 per quarter every quarter. These direct reps accounted for 85% of the business while the indirect activity was 15% this quarter.”