**This post originally published on InsideBigData**
Everybody wants a piece of the big data pie – particularly Hadoop. Startups are popping up left and right in attempt to be a part of the Hadoop action and industry watchers are fueling the buzz — and for good reason.
Hadoop has emerged as the leading software framework for the storage and analysis of big data. Early adopters such as Facebook, Twitter and Yahoo! have successfully built custom analytics using Hadoop to tackle big data analytic challenges. Given this initial success, Hadoop has become the poster child for delivering scalable analytic powers that meet today’s big data requirements, and companies are biting at the opportunity to benefit from that potential.
Yet with the growing buzz surrounding Hadoop so comes the skepticism. While it would be ludicrous to doubt the value of data and its ability to create high-resolution observations and interpretations about how businesses are performing, it’s time to ponder how to bring big data technologies, such as Hadoop, into the next phase of efficiency and utility. In order to do that, we must understand what’s driving the skepticism that’s out there, and how to address it.
Who’s Jumping on the Hadoop Bandwagon?
Looking at the big data landscape, one of the obvious observations is the increasing number of startups focused on Hadoop. When you have a unique shift in the market like the one brought on by big data, it’s inevitable that startups will want to jump on the bandwagon. If there’s a great opportunity, Silicon Valley and the world of emerging technology will always try to capitalize on it.
With all of this hype, people question whether there is a growing Hadoop bubble and ahead-of-time expectations. We’ve seen Hadoop-related companies leave the gates with initially promising growth numbers and then stagnate early on. People are starting to question if Hadoop is worth all the fuss.
Those looking at the Hadoop landscape need to recognize whether there’s value creation in the company or if it’s a matter of unlimited funds that’s being used to buy growth. There are Hadoop-related companies that create tremendous value, have solid bookings and revenue numbers — that is where the potential lies. On the flip side, there are also companies where growth is mostly bought — that is where the potential dies.
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