Levyx, Inc.

Levyx's technology is transforming the economics of real-time processing large-scale data sets. Capable of handling hundreds of millions (scaling to billions) of queries per second, Levyx's Helium product enables radical reductions in the amount of supporting infrastructure that is typically needed to process large volumes of data. Levyx makes the massive data processing power that was usually reserved for web-scale companies (who could afford it) and makes it accessible to the masses. Our Helium product is: * an ultra-low-latency (measured in the micro-seconds) data engine; * able to balance system/network resources in ways that fully optimize commodity servers; * designed to take advantage of the latest multi-core CPUs; * built to optimize the use of Flash SSDs instead of DRAM in ultra-low latency implementations; * able to achieve an unprecedented combination of performance, cost and scalability; * an alternative to conventional in-memory implementations that can cost 15x-20x more; and * highly-scalable and able to run on any hardware and on any OS, in any Big Data environment. Levyx's technology will have an profound impact on several industries including Web 2.0, Digital advertising, Cyber-Security, Oil & Gas, Finance, Telecom, and Government and Defense, all of which share the characteristics of needing to process large amounts of data, both in real-time and cost-effectively. Founded in October 2013, Levyx is based in Irvine, CA. The founders of Levyx are early innovators in data store technologies and have over 45 man-years of enterprise system and software design experience in the areas of high-performance database, SSD optimization, and search technologies. To know more about Levyx's software technology, access additional information, and talk to one of our representatives, visit us at https://:www.levyx.com.

网站

https://www.levyx.com

Levyx, Inc.的外部链接

所属行业

软件开发

规模

11-50 人

总部

Irvine，CA

类型

私人持股

创立

2013

领域

Data Store Technology、NoSQL Database、SSD Aware、Real time Analytics、Real time Transactions Processing、Large-Scale Data Sets、In-Memory、Distributed Query Processing、ACID Transactions、Big Data Analytics、Simple Scalable API、Solid-state Drives和Ultra-low Latency