VMware shops say forget cloud, virtualize big data applications
August 28, 2013
Grazed from TechTarget. Author: Alex Barrett.
VMware administrators that experimented with running big data workloads lived to tell about their experiences here this week, while vendors explained how big data principles could actually improve day-to-day IT operations. One organization that ran big data workloads in the cloud reported that it quickly becomes cost-prohibitive, and that it is much cheaper and easier to run it in-house on — guess what? –VMware Inc.’s platforms.
Identified Inc., a software firm that identifies recruiting candidates from social media sites such as LinkedIn and Facebook, said the return on investment (ROI) of building its own Apache Hadoop cluster on VMware infrastructure was less than two months, compared with using Amazon Web Service (AWS) Elastic Map Reduce…
For about $80,000, Identified built a 225 TB Hadoop cluster on eight of Super Micro Computer Inc.’s FatTwin servers, which AWS’s calculator said would have cost $43,000 per month to run.
"AWS is great if you’re just starting out and testing out Hadoop, but anyone with half a brain can see that the ROI doesn’t make any sense," said Sasha Kipervarg, Identified’s director of SaaS operations, speaking at a VMworld 2013 session about big data extensions…
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