My name is Ryan Betts. I work for VoltDB, an open source database startup in Massachusetts, USA. I love making products.

Surprise! SQL is in. »

Some favorite book

I was chatting with Christian this morning about favorite books that frame starting and innovating a new enterprise. Surprised myself a bit with the number of favorites I’ve accumulated! Thought I would capture a simple list.

My favorite book about observation — the heartbeat of new ideas: http://www.amazon.com/Drawing-Right-Side-Brain-Definitive/dp/1585429201

Thinking about founding teams - but really deciding what you want. http://www.amazon.com/Founders-Dilemmas-Anticipating-Foundation-Entrepreneurship/dp/0691158304

Am I getting screwed or wasting someone’s time? http://www.amazon.com/Venture-Deals-Smarter-Lawyer-Capitalist/dp/1118443616

And of course the startup bible… http://theleanstartup.com/

DBTA writes on enterprise cloud stepping stones »

Joe McKendrick captures a nice series of thoughts about cloud adoption and maturity of cloud-focused data management.

We are seeing the emergence of data-as-a-service via an implementation that is largely the integration of new, cloud-friendly technologies growing from the big-data-store (HDFS) upwards to high-value real time processing.

If your application is collecting data rapidly, you know the importance and challenge of ingesting, analyzing and making real time decisions as a per-event process. That data is going to end up in HDFS (or another long term store). That storage capability will live in private and public clouds. And the gravity of that destination pulls the technologies that deliver real time value to the cloud as well.

This is why it is critical that your real time transaction platform is designed for virtualize-able deployment.

It all boils down to architecture. An architecture designed first around clustering, replication, and ease of virtualization is critical to cloud deployments, said Ryan Betts, CTO of VoltDB. “This means eliminating expensive shared storage with modern shared-nothing cluster architectures.” In the last several years, there has been an explosion of data management solutions—and with good cause, he said. “The legacy architectures of incumbent products do not meet the elastic, shared-nothing, virtualization, and horizontal scaling requirement for cloud deployments.”