May 8th, 2008 Curt Monash
Call me slow on the uptake if you like, but it’s finally dawned on me that outsourced data marts are a nontrivial segment of the analytics business. For example:
- I was just briefed by Vertica, and got the impression that data mart outsourcers may be Vertica’s #3 vertical market, after financial services and telecom. Certainly it seems like they are Vertica’s #3 market if you bundle together data mart outsourcers and more conventional OEMs.
- When Netezza started out, a bunch of its early customers were credit data-based analytics outsourcers like Acxiom.
- After nagging DATAllegro for a production reference, I finally got a good one — TEOCO. TEOCO specializes in figuring out whether inter-carrier telcom bills are correct. While there’s certainly a transactional invoice-processing aspect to this, the business seems to hinge mainly around doing calculations to figure out correct charges.
- I was talking with Pervasive about Pervasive Datarush, a beta product that lets you do super-fast analytics on data even if you never load it into a DBMS in the first place. I challenged them for use cases. One user turns out to be an insurance claims rule-checking outsourcer.
- One of Infobright’s references is a French CRM analytics outsourcer, 1024 Degres.
- 1010data has built up a client base of 50-60, including a number of financial and retail blue-chippers, with a soup-to-nuts BI/analysis/columnar database stack.
- I haven’t heard much about Verix in a while, but their niche was combining internal sales figures with external point-of-sale/prescription data to assess retail (especially pharma) microtrends.
To a first approximation, here’s what I think is going on. Read the rest of this entry »
Posted in 1010data, Analytics and analytic technologies, Business intelligence, Cloud computing, Data warehousing, Infobright and Brighthouse, Netezza, Pervasive Software, SaaS, Specific users, TEOCO, Vertica Systems | 1 Comment »
April 5th, 2008 Curt Monash
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:
Read the rest of this entry »
Posted in Analytics and analytic technologies, DATAllegro, Data warehouse appliances, Data warehousing, Dataupia, Greenplum, HP and Neoview, IBM and DB2, Infobright and Brighthouse, Kognitio and WX2, Microsoft and SQL*Server, Netezza, Oracle, ParAccel, Relational database management systems, Sybase, Teradata | 4 Comments »
January 21st, 2008 Curt Monash
As I’ve previously noted:
Talking with Infobright today, I was again struck by how close their relationship with MySQL (the company is). Stay tuned.
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Posted in Analytics and analytic technologies, Data warehousing, Infobright and Brighthouse, MySQL, Relational database management systems | No Comments »
January 21st, 2008 Curt Monash
There’s another TDWI conference coming up, so it’s time for data warehouse-related press rollouts. Infobright (one of my many clients in this area) will be doing one of them, and ran an early version by me. Customer announcements, vendor partnerships, and so on are still being finalized, but anyhow Infobright has 7 revenue-recognized customers and a bunch more that are sold and in the implementation cycle. There’s a Release 3 of Brighthouse coming up. As one would expect, Release 3’s major claims to fame are the general addition of features (including some which elicit a “You didn’t have that already?” reaction), plus huge performance improvements in some queries (i.e., the biggest bottlenecks in Brighthouse Release 2).
On that level, it’s all standard stuff, as is Infobright’s core pitch — ease, simplicity, low cost, etc., and the benefits of same. But drilling down, there are some rather unique technical claims. Read the rest of this entry »
Posted in Analytics and analytic technologies, Data warehousing, Infobright and Brighthouse, Relational database management systems | No Comments »
January 16th, 2008 Curt Monash
Of the many new specialty data warehouse DBMS and appliances, Infobright’s BrightHouse is the only leading one based on MySQL. I expect Sun and Infobright to have some interesting conversations now. Conversely, I wouldn’t be optimistic about any partnering discussions Infobright might have with, say, HP.
The most directly competitive relationship Sun now has to any future Infobright partnership is with ParAccel.
Posted in Analytics and analytic technologies, Data warehousing, Infobright and Brighthouse, MySQL, Open source RDBMS, ParAccel, Relational database management systems | 2 Comments »
October 28th, 2007 Curt Monash
An InfoBright employee posted something quite reasonable-looking in response to my inaugaral post about BrightHouse. Even so, InfoBright asked if they could substitute something with a slightly different tone. I agreed. Here’s what they sent in.
Curt, thanks for the write-up and the opportunity to talk about our customer success stories. As you say, our customer story is definitely “more than zero.” We are addressing a number of critical customer issues with our unique approach to data warehousing.
Infobright currently has 5 customers - customers that have bucked the trend of throwing hardware at the problem. To be perfectly braggadocio about this, we have never lost a competitive proof of concept in which we’ve been engaged. This is accomplished with the horsepower of one box (though for redundancy customers may deploy multiple boxes with a load balancer).
Read the rest of this entry »
Posted in Analytics and analytic technologies, Columnar architectures, Data warehousing, Database compression, Infobright and Brighthouse, Relational database management systems | No Comments »
October 22nd, 2007 Curt Monash
To a first approximation, Infobright – maker of BrightHouse — is yet another data warehouse DBMS specialist with a columnar architecture, boasting great compression and running on commodity hardware, emphasizing easy set-up, simple administration, great price-performance, and hence generally low TCO. BrightHouse isn’t actually MPP yet, but Infobright confidently promises a generally available MPP version by the end of 2008. The company says that experience shows >10:1 compression of user data is realistic – i.e., an expansion ratio that’s fractional, and indeed better than 1/10:1. Accordingly, despite the lack of shared-nothing parallelism, Infobright claims a sweet spot of 1-10 terabyte warehouses, and makes occasional references to figures up to 30 terabytes or so of user data.
BrightHouse is essentially a MySQL storage engine, and hence gets a lot of connectivity and BI tool support features from MySQL for “free.” Beyond that, Infobright’s core technical idea is to chop columns of data into 64K chunks, called data packs, and then store concise information about what’s in the packs. The more basic information is stored in data pack nodes,* one per data pack. If you’re familiar with Netezza zone maps, data pack nodes sound like zone maps on steroids. They store maximum values, minimum values, and (where meaningful) aggregates, and also encode information as to which intervals between the min and max values do or don’t contain actual data values. Read the rest of this entry »
Posted in Analytics and analytic technologies, Columnar architectures, Data warehousing, Database compression, Infobright and Brighthouse, MySQL, Open source RDBMS, Relational database management systems | 1 Comment »