Extreme Data Velocity
extreme data varieties ranging from ERP to Social Media feeds and the associated explosion in the extreme data volumes is of increasing concern to the enterprise. How fast the data enters the enterprise and how fast it is accessed by users is critical to the equation. Legacy vendors have not…
Extreme Data Volume
Tabular data from ERP, CRM, SCM and operational systems was just the beginning. Now we have web logs, application logs, social media, mobile, tablets, NFC, appliance, machine data, sentiment, context and many other extreme varieties of data. These have caused data volumes to increase exponentially. If enterprises attempt to treat…
Extreme Data Variety
Every day new varieties of Extreme Data deluge the enterprise. It is no longer sufficient to simply focus on tabular data coming out of CRM, ERP, SCM and other operational OLTP systems. Just when enterprises thought they were finished creating their *single customer view* or their *single source of truth*…
An open letter to Vertica
Dear Vertica, By way of a blog post from Mike Stonebraker you recently endeavoured to lay down a mandate for the key criteria for what constitutes a true column store. This was a highly laudable effort. However, after the post generated more responses, interest and external commentary than any previous…
Persisting In-memory: When the only constant is change
SAND’s in-memory database optimizer solves the dynamic requirements of today’s environments. We see customers adding exponentially increasing data volumes, new data types every day from social feeds to mobile data to device logs, and all moving at ever greater velocity. To solve this in-memory database vendors have a solution for…
The curious case of the canceled column store criteria
Did Mike Stonebraker change his mind about what the criteria are from a column store database (CDBMS) or did someone spill coffee on Vertica’s WordPress install and short out his post? Either way I was surprised to see Mike’s blog — in which he opined on the criteria for column…
Standing up for the real column stores
I am delighted to see Curt Monash has entered the debate on Mike Stonebraker’s *Real Column Store* blog post. I’ve already responded to Mike but Curt’s post brings up some other things worthy of consideration: >There are some good things about [Mike Stonebraker’s] post, and some not-so-good. The worst paragraph…
Challenging the column store criteria
*The following is a response to Mike Stonebraker’s recent blog post,* Will the Real Column Stores Please Stand Up? *I originally left it as a comment to that post but so far it has not been published. I can’t imagine they have a very long moderation queue or that Mike…
SAND listed on the Data Mining Group’s PMML product page
Just a quick note to let everyone know SAND is now listed on the Data Mining Group’s PMML (Predictive Model Markup Language) product page. Our team worked very hard to deliver PMML functionality to SAND, which enables analytics on Extreme Data with even greater flexibility. Complex mathematical and statistical models,…