Microsoft SQL Server 2012 and enterprise database choices in general
Microsoft is launching SQL Server 2012 on March 7. An IM chat with a reporter resulted, and went something like this. Reporter: [Care to comment]? CAM: SQL Server is an adequate product if you don’t...
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Comments on the analytic DBMS industry and Gartner’s Magic Quadrant for same
This year’s Gartner Magic Quadrant for Data Warehouse Database Management Systems is out.* I shall now comment, just as I did on the 2010, 2009, 2008, 2007, and 2006 Gartner Data Warehouse Database...
View ArticleBusiness intelligence industry trends
This is one of a series of posts on business intelligence and related analytic technology subjects, keying off the 2011/2012 version of the Gartner Magic Quadrant for Business Intelligence Platforms....
View ArticleThinking about market segments
It is a reasonable (over)simplification to say that my business boils down to: Advising vendors what/how to sell. Advising users what/how to buy. One complication that commonly creeps in is that...
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Big Data hype?
A reporter wrote in to ask whether investor interest in “Big Data” was justified or hype. (More precisely, that’s how I reinterpreted his questions. ) His examples were Splunk’s IPO, Teradata’s stock...
View ArticleSQL Server to MySQL migration — why?
Oracle wants you to help you migrate from Microsoft SQL Server to MySQL. I was asked for comment, and replied: There are many SQL Server/Windows uses for which MySQL/Linux would do just as well. (Edit:...
View ArticleNotes on some basic database terminology
In a call Monday with a prominent company, I was told: Teradata, Netezza, Greenplum and Vertica aren’t relational. Teradata, Netezza, Greenplum and Vertica are all data warehouse appliances. That, to...
View ArticleData warehouse appliance — analytic glossary draft entry
This is a draft entry for the DBMS2 analytic glossary. Please comment with any ideas you have for its improvement! Note: Words and phrases in italics will be linked to other entries when the glossary...
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Analyzing big companies is hard
Analyzing companies of any size is hard. Analyzing large ones, however, is harder yet. I get (much) less substance in an hour on the phone with a megacorp than I do when I talk with a smaller company....
View ArticleNotes on Microsoft SQL Server
I’ve been known to gripe that covering big companies such as Microsoft is hard. Still, Doug Leland of Microsoft’s SQL Server team checked in for phone calls in August and again today, and I think I got...
View ArticleComments on Gartner’s 2012 Magic Quadrant for Data Warehouse Database...
To my taste, the most glaring mis-rankings in the 2012 Gartner Magic Quadrant for Data Warehouse Database Management are that it is too positive on Kognitio and too negative on Infobright. Secondarily,...
View ArticleKey questions when selecting an analytic RDBMS
I recently complained that the Gartner Magic Quadrant for Data Warehouse DBMS conflates many use cases into one set of rankings. So perhaps now would be a good time to offer some thoughts on how to...
View ArticleIt’s hard to make data easy to analyze
It’s hard to make data easy to analyze. While everybody seems to realize this — a few marketeers perhaps aside — some remarks might be useful even so. Many different technologies purport to make data...
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One database to rule them all?
Perhaps the single toughest question in all database technology is: Which different purposes can a single data store serve well? — or to phrase it more technically — Which different usage patterns can...
View ArticleSome stuff I’m working on
1. I have some posts up on Strategic Messaging. The most recent are overviews of messaging, pricing, and positioning. 2. Numerous vendors are blending SQL and JSON management in their short-request...
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SQL-Hadoop architectures compared
The genesis of this post is: Dave DeWitt sent me a paper about Microsoft Polybase. I argued with Dave about the differences between Polybase and Hadapt. I asked Daniel Abadi for his opinion. Dan agreed...
View ArticleDave DeWitt responds to Daniel Abadi
A few days ago I posted Daniel Abadi’s thoughts in a discussion of Hadapt, Microsoft PDW (Parallel Data Warehouse)/PolyBase, Pivotal/Greenplum Hawq, and other SQL-Hadoop combinations. This is Dave...
View ArticleThe refactoring of everything
I’ll start with three observations: Computer systems can’t be entirely tightly coupled — nothing would ever get developed or tested. Computer systems can’t be entirely loosely coupled — nothing would...
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“Disruption” in the software industry
I lampoon the word “disruptive” for being badly overused. On the other hand, I often refer to the concept myself. Perhaps I should clarify. You probably know that the modern concept of disruption comes...
View ArticleHortonworks, Hadoop, Stinger and Hive
I chatted yesterday with the Hortonworks gang. The main subject was Hortonworks’ approach to SQL-on-Hadoop — commonly called Stinger — but at my request we cycled through a bunch of other topics as...
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