BIG DATA use cases – are there any “killer apps”?
The Hadoop framework is being applied to many use-cases. Even though Hadoop has been in the public domain since Yahoo! began investing in scaling Hadoop from an interesting prototype back in 2005 to the robust scalable framework it is today, the “kill app” is still difficult to spot.
The application of the Big Data technology is broad. That is why we’re seeing companies like Cloudera, Hortonworks, MapR on the infrastructure; Hadapt, Quantivo, ClickFox, and others on the analytics; a new breed of simple query/BI tools like Datameer….all scaling quickly to address the growing market need….not to mention the many companies using the Hadoop framework.
When I share ideas with various technology providers, there’s the typical response to “What’s the killer app?”…it includes web mining analytics, content optimization/personalization, advertising, recommendations, sensor data analytics, and even spam detection.
In the graphic above, I’ve attempted to categorize BIG DATA use-cases / applications from a sample of over 100 companies. Some of these categories could be combined. I tried to focus on the answer to the question, “what’s the leading use-case?” because many companies are applying the Hadoop framework to several internal use-cases.
What’s your “killer app?”
[Note: Of the above sample, the average node cluster configuration was 508. If we remove extremes, the average drops to 52 nodes.]