Levyx, a start-up based in Irvine, California, announced $5.4 million in Series-A funding for its high-performance processing technology for reducing infrastructure costs associated with big-data applications.
Levyx said its “Helium” data engine is built for the modern “open-platform” commodity-hardware datacenter. “Helium is an ultra-low latency datastore that can process tens of millions of queries per second on a single computing node. By leveraging Helium and its core expertise system software and SSD/NVM technology, Levyx enables its customers to achieve in-memory computing performance at a fraction of the normal cost by using Flash-SSDs (versus much more expensive DRAM) and running on commodity hardware. Levyx’s patent-pending Input/Output software and indexing algorithms take advantage of multicore architectures and flash memory and is also designed to optimize emerging NVM technologies.”
“We have seen a huge amount of innovation in the software and storage hardware associated with big-data applications, but there are big inefficiencies because the two sides have been walled off from one another,” CEO and Founder Reza Sadri said. “By fixing this disconnect with a fundamentally new software stack, we pave the way for real-time processing of big-data workloads for the masses. The support and guidance of investors like OCA Ventures, Amino Capital and Sumavision will help us in our quest to make big-data applications dramatically more affordable for everyone.”