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Cloudera, Hadoop, Data warehouses and SLR camera

Amr Adawallah in an interview with Dan Woods for Forbes:

Our advantage is that we can encompass more data and run more workloads with less friction than any other platform. The analogy I use most often is the difference between the SLR camera and the camera on your smart phone. Almost everyone takes more pictures on their smart phone than on their SLR.

The SLR camera is like the enterprise data warehouse. The SLR camera is really, really good at taking pictures, in the same sense that an enterprise data warehouse is really, really good at running queries. But that’s the only thing it does. The data it picks is only exposed to that workload. The system we provide, the enterprise data hub, is more like the smartphone. It can take decent pictures—they won’t be as good as the SLR camera, and in this I’m referring to the Impala system. So Impala will run queries. The queries won’t run at the same interactive OLAP speeds that you get from a high-end data warehouse. However, for many use cases, that performance might be good enough, given that the cost is 10 times lower.

I’ve linked in the past to Ben Thomspon‘s visualizations of the innovator’s dillema:

ben thompson - innovator dilemma

The explanation goes like this: incumbents’ products are usually over-serving consumer needs thus leaving room to new entrants’ good-enough lower-priced products.

Original title and link: Cloudera, Hadoop, Data warehouses and SLR camera (NoSQL database©myNoSQL)

via: http://www.forbes.com/sites/danwoods/2014/05/09/clouderas-strategy-for-conquering-big-data-the-enterprise/