Posts filed under ‘PatternBuilders Technology’

Riding the Data Waterfall

Our new streaming analytics engine.

By Terence Craig

As promised, I am going to spend the next few posts discussing some of the new features in our analytics framework, otherwise known as PAF.  This is our largest and most complex release so far.  We are very proud of it—both in how far the framework has come and how closely it matches our vision of what a world class analytics system would look like when we started the company a few years ago.

One of my favorite features, and certainly the biggest change in this release, is that our analytics engine is now completely streaming based.  I think that this, along with our improved ad-hoc analysis support, is going to improve our customers’ day-to-day to experience with both calculating and using analytics in their businesses.    (more…)

January 26, 2011 at 6:01 pm 11 comments

The New New Thing

By Terence Craig

Before we dive back into geekier topics, I highly recommend that you click on this image and buy Lewis’ book.  It is a great distillation of the valley’s culture during the Internet bubble.

In my last post, I talked about how had bought back the venerable timesharing model by applying the new architectural model of multi-tenancy. Multi-tenancy made timesharing viable for the Internet era. (more…)

January 17, 2011 at 9:40 pm 1 comment

Back to the future

By Terence Craig

In my last post, I talked about how the time sharing model for enterprise apps was displaced by user owned data centers and on premise deployments of enterprise software.  In the late nineties, a plethora of companies tried to reinvigorate the timeshare model, using the Internet as a cheaper network backbone.

These companies, collectively called Application Service Providers (ASP), used a variety of different approaches to deliver enterprise software over the web.  They ranged from: (more…)

January 14, 2011 at 8:02 pm 1 comment

Everything Old Is New Again

By Terence Craig

I had a discussion recently with a very talented but young product manager on the merits of SaaS (Software as a Service) and multi-tenancy versus traditional Enterprise Software.  The discussion got a little easier when I gave him some history about how we got here.  Yeah, I realize that knowing this history makes me ancient in programmer years.

SaaS could be defined as the combination of a new architectural model known as multi-tenancy with a payment model which has been around since the mainframe era — timesharing.   In this post I will focus on the history of timesharing.  In the next post I will discuss multi-tenancy.

SaaS re-introduced the hardware/software rental model known as timesharing to the world. For those of you who are young enough to think that Paul McCartney was always a solo act it may seem shocking, but yes people where renting software and data centers decades before was founded.

January 13, 2011 at 12:46 am 3 comments

Why isn’t BI a Solution for Big Data and Real-Time Analytics?

By Terence Craig

It’s a legitimate question that we get asked a lot: why can’t I use my multi-billion dollar BI system to manage my big data/real time analytics problem(s)?  I have found that my tongue in cheek answer “we need you buy our software and services because we have families to feed” though true, is not as compelling to customers as I would like which leads to today’s post.

To put the question another way: what can PatternBuilders and the rest of the new approaches to data and analytics like Hadoop or Mongo (which, by the way, our platform uses and is a great technology) offer you over and above what large BI company X offers? (more…)

December 20, 2010 at 11:56 am 4 comments

It’s All About the Data

By Terence Craig


A few years ago, we founded PatternBuilders after noticing that those of us in the software business had won the war and had convinced the entire world that capturing every possible transaction in a digital format and automating all their processes was not only a good idea, but a necessary survival skill.  At the same time, however, we almost universally failed in providing ways to do any real analysis on the tons of digital data that were now being captured and available to be used. (more…)

December 19, 2010 at 3:34 pm 3 comments

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