UPDATED 15:35 EST / FEBRUARY 20 2015

Building Hadoop businesses takes time, patience, and a lot of funding | #BigDataSV

Kickoff

For enterprise companies large and small alike, the Hadoop market is a difficult one because of the open source component, which explains the large influx of capital and the length it takes to develop enterprise solutions. In the opening segment of day three of Big Data SV, theCUBE co-hosts Jeff Kelly and Jeff Frick debated how different Hadoop and Big Data is in terms of time and money required to build a business. “The Open Source market is interesting, innovation happens really quickly. But packing that for the enterprise takes some time. It takes time to build a business,” Kelly said.

When asked what he found surprising based on his prior views and research, Kelly said that “it’s actually proving a little bit even more challenging to build these Hadoop businesses.” Because it is open source, with innovation happening so quickly in all spaces, and such a wide margin for competition, that might be slowing down the growth. “You need to be patient, it’s going to take time, it is not the standard way enterprise software is typically sold and consumed,” Kelly explained. In terms of the overall market, “it’s growing at a hefty clip,” reaching and estimated 25 billion dollars at the end of 2014, and further increase is expected for the next few years, Kelly added.

“Open source is a prerequisite. It’s the way software is developed in the enterprise business. Startups are great at innovation, what they are not great at is rolling it out to a greater enterprise audience,” Kelly said.  “The wild card in this market is that you’ve got the open source component. Even if there are acquisitions, that is not going to stop innovations.”

Commenting on the open source community, Jeff Frick said “in the open source world, these individual contributors are rock stars in their worlds. These guys are really excited to develop the software to do good, solve problems” and are not really commercially focused. The big companies need to learn how to live in that world, give the contributors the feedback that they need, and then roll out products and solutions.

Check back here for the full segment, and find even more of SiliconANGLE and theCUBE’s wall-to-wall coverage of #BigDataSV here.


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