TheCube headed to Google IO 2013 this year, with SiliconAngle founding Editor Mark "Rizzn" Hopkins at the helm, covering one of the biggest conferences for developers. At the event, we were able to have Jabari Norton of MapR for an interview.
During last year's Google IO conference, Norton and his team demonstrated their ability to leverage Google's Compute Engine (officially launched this year) and cloud. They sorted a terabyte of data so fast they broke the world record at the time by utilizing only the CPUs previously used, and cutting back on costs, from $3 million-$6 million down to below $20. It created a lot of buzz and it was a springboard to MapR's success.
Right now, MapR is working closely with customer Rap. They do real-time data processing, taking real time frame from gaming applications and pulling in various user information, such as what users are doing and who's the most active in the game. Based on the data gathered, developers can improve their game applications, spot issues, and even monetize the game more effectively.
Jabar also shared some interesting insight on the competition he's seeing among different cloud companies. For him, cloud competition is less like a war and more like super computers coming online at different speeds. He prefers to refer to the cloud as a "greenfield" because it's huge, and holds so much potential. Cloud competition is about hooking with the most customers fast enough, and of course, it's inevitable for customers to prefer Google's cloud, along with other familiar cloud services.
"I'm not sure if you can find a de facto winner or loser but I think who really wins in this (cloud competition) is the consumer or the business who's actually getting these services. Because as more and more competitors come into this business [with] more and more providers, the cost of those services actually come down over time so it's only going to be the benefits of both the consumer and the business."
Jabari Norton, MapR, at Google IO 2013 with Mark "Rizzn" Hopkins
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Jabari Norton - Google IO 2013 - theCUBE
TheCube headed to Google IO 2013 this year, with SiliconAngle founding Editor Mark "Rizzn" Hopkins at the helm, covering one of the biggest conferences for developers. At the event, we were able to have Jabari Norton of MapR for an interview.
During last year's Google IO conference, Norton and his team demonstrated their ability to leverage Google's Compute Engine (officially launched this year) and cloud. They sorted a terabyte of data so fast they broke the world record at the time by utilizing only the CPUs previously used, and cutting back on costs, from $3 million-$6 million down to below $20. It created a lot of buzz and it was a springboard to MapR's success.
Right now, MapR is working closely with customer Rap. They do real-time data processing, taking real time frame from gaming applications and pulling in various user information, such as what users are doing and who's the most active in the game. Based on the data gathered, developers can improve their game applications, spot issues, and even monetize the game more effectively.
Jabar also shared some interesting insight on the competition he's seeing among different cloud companies. For him, cloud competition is less like a war and more like super computers coming online at different speeds. He prefers to refer to the cloud as a "greenfield" because it's huge, and holds so much potential. Cloud competition is about hooking with the most customers fast enough, and of course, it's inevitable for customers to prefer Google's cloud, along with other familiar cloud services.
"I'm not sure if you can find a de facto winner or loser but I think who really wins in this (cloud competition) is the consumer or the business who's actually getting these services. Because as more and more competitors come into this business [with] more and more providers, the cost of those services actually come down over time so it's only going to be the benefits of both the consumer and the business."
Jabari Norton, MapR, at Google IO 2013 with Mark "Rizzn" Hopkins
