Infobright

Analysis of Infobright and its MySQL-based data warehouse DBMS formerly known as Brighthouse. Related subjects include:

September 19, 2011

Are there any remaining reasons to put new OLTP applications on disk?

Once again, I’m working with an OLTP SaaS vendor client on the architecture for their next-generation system. Parameters include:

So I’m leaning to saying:   Read more

July 6, 2011

Hadapt update

I met with the Hadapt guys today.  I think I can be a bit crisper than before in positioning Hadapt and its use cases, namely:

Other evolution from what I wrote about Hadapt a few months ago includes:

In other news, Hadapt is our newest client.

July 5, 2011

Eight kinds of analytic database (Part 1)

Analytic data management technology has blossomed, leading to many questions along the lines of “So which products should I use for which category of problem?” The old EDW/data mart dichotomy is hopelessly outdated for that purpose, and adding a third category for “big data” is little help.

Let’s try eight categories instead. While no categorization is ever perfect, these each have at least some degree of technical homogeneity. Figuring out which types of analytic database you have or need — and in most cases you’ll need several — is a great early step in your analytic technology planning.  Read more

June 20, 2011

Columnar DBMS vendor customer metrics

Last April, I asked some columnar DBMS vendors to share customer metrics. They answered, but it took until now to iron out a couple of details. Overall, the answers are pretty impressive.  Read more

June 14, 2011

Infobright 4.0

Infobright is announcing its 4.0 release, with imminent availability. In marketing and product alike, Infobright is betting the farm on machine-generated data. This hasn’t been Infobright’s strategy from the getgo, but it is these days, with pretty good focus and commitment. While some fraction of Infobright’s customer base is in the Sybase-IQ-like data mart market — and indeed Infobright put out a customer-win press release in that market a few days ago — Infobright’s current customer targets seem to be mainly:

Key aspects of Infobright 4.0 include:  Read more

March 24, 2011

MySQL, hash joins and Infobright

Over a 24 hour or so period, Daniel Abadi, Dmitriy Ryaboy and Randolph Pullen all remarked on MySQL’s lack of hash joins. (It relies on nested loops instead, which were state-of-the-art technology around the time of the Boris Yeltsin administration.) This led me to wonder — why is this not a problem for Infobright?

Per Infobright chief scientist Dominik Slezak, the answer is

Infobright perform joins using its own optimization/execution layers (that actually include hash join algorithms and advanced knowledge-grid-based nested loop optimizations in particular).

February 28, 2011

Updating our vendor client disclosures

Edit: This disclosure has been superseded by a March, 2012 version.

From time to time, I disclose our vendor client lists. Another iteration is below. To be clear:

With that said, our vendor client disclosures at this time are:

Read more

February 5, 2011

Comments on the Gartner 2010/2011 Data Warehouse Database Management Systems Magic Quadrant

Edit: Comments on the February, 2012 Gartner Magic Quadrant for Data Warehouse Database Management Systems — and on the companies reviewed in it — are now up.

The Gartner 2010 Data Warehouse Database Management Systems Magic Quadrant is out. I shall now comment, just as I did to varying degrees on the 2009, 2008, 2007, and 2006 Gartner Data Warehouse Database Management System Magic Quadrants.

Note: Links to Gartner Magic Quadrants tend to be unstable. Please alert me if any problems arise; I’ll edit accordingly.

In my comments on the 2008 Gartner Data Warehouse Database Management Systems Magic Quadrant, I observed that Gartner’s “completeness of vision” scores were generally pretty reasonable, but their “ability to execute” rankings were somewhat bizarre; the same remains true this year. For example, Gartner ranks Ingres higher by that metric than Vertica, Aster Data, ParAccel, or Infobright. Yet each of those companies is growing nicely and delivering products that meet serious cutting-edge analytic DBMS needs, neither of which has been true of Ingres since about 1987.  Read more

June 27, 2010

Infobright’s Release 3.4

Infobright called a couple weeks ago to discuss, among other subjects, its subsequently-released Infobright Release 3.4. I made no effort to distinguish between community/open source and professional/chargeable editions, but leaving that aside, it seems fair to characterize Infobright 3.4 as having two overlapping primary themes:

That said, the traditional release for cleaning up the last huge gaps in an analytic DBMS product seems have become 4.0; recent examples include Aster Data, Vertica and Greenplum. Infobright seems on track to be another example of that rule.

Ack. Now that I’ve said that, other vendors are going to be tempted to accelerate their numbering so as to reach the 4.0 mark sooner …

A lot of Infobright performance enhancements are in the vein “We used to rely on generic MySQL for that, but now we do it ourselves, and it works a lot better.” Examples include:  Read more

June 5, 2010

Algebraix

I talked Friday with Chris Piedemonte and Gary Sherman, respectively the Cofounder/CTO and Chief Mathematician of Algebraix, who hooked up together for this project back in 2003 or 2004. (Algebraix is the company formerly known as XSPRADA.) Algebraix makes an analytic DBMS, somewhat based on the ideas of extended set theory, that runs on SMP (Symmetric MultiProcessing) boxes. Like all analytic DBMS vendors, Algebraix has on some occasions run some queries orders of magnitude faster than they ran on the systems users were looking to replace.

Algebraix’s secret sauce is that the DBMS keeps reorganizing and recopying the data on disk, to optimize performance in response to expected query patterns (automatically inferred from queries it’s seen so far). This sounds a lot like the Infobright story, with some of the more obvious differences being:  Read more

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