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Why is the Media Calling Qubole “Disruptive”?

 

Qubole has received numerous “disruptive technology”- related industry awards, most recently the 2015 CNBC Disruptors 50 Award and a 2015 TiE50 Winner recognizing it as one of the most promising innovators and disruptors. What does disruptive mean and why is Qubole considered “disruptive?”

 

What Does Disruptive Mean?

Harvard Business School Professor Clayton M. Christensen popularized the term “disruptive technology” when he introduced it in his 1995 article Disruptive Technologies: Catching the Wave. He further clarified the term a few years later in his landmark business book Innovator’s Dilemma, a book very high on the list of the most influential Silicon Valley thought leadership books to this very day. Though giving the topic its full due here would not be possible, in essence, technologies which “disrupt” the market tend to follow similar patterns:

  1. A disruptive technology helps to create a newly accessible market by dramatically reducing complexity, cost and/or buying friction.
  2. Disruptive technologies usually start by selling to new – or unprofitable – customers and then move up the chain after perfecting themselves.
 

Why is Qubole Considered “Disruptive”?

Qubole provides a simplified and highly scalable way to “click to query” big data while leveraging the accessibility and storage economics of cloud providers such as Amazon Web Services, Microsoft Azure and/or Google Compute Engine, Qubole coupled with these IaaS partners not only eliminates the costs and risks of building experimental infrastructure, but by unifying metadata and a UI together with SDKs, makes a whole suite of big data frameworks accessible to non-programmer analysts. With the swipe of a corporate credit card and a few clicks, they are ready to analyze data.

In a recent Qubole customer survey, the average new user reports 2.8 days to production with the Qubole Data Service platform leveraging Spark, Hive, Presto, HBase, Pig, Cascading and MapReduce. In addition, on average, a customer can scale up to 200 nodes in a cluster in under four minutes and scale back down to zero once the service is not needed so that no unnecessary costs are incurred.

The Hadoop ecosystem is largely comprised of a software industry built by software developers for software developers and one that reports a current average of 6-9 months to production with only a 13% average project success rate. Qubole unequivocally meets the definition of “disruptive technology” that Professor Christensen coined over two decades ago by reconstituting these ecosystem components specifically for the cloud so that they may be consumed simply and on-demand by a non-developer data consumer without all the cost and complexities previously faced.

 
 
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