Joyent Offers Hadoop Solution for Big Data Challenges

Joyent announced a new Apache Hadoop-based solution, built using the Hortonworks Data Platform (HDP), that allows companies to run enterprise-class Hadoop on the high-performance Joyent Cloud.

As a new entrant into the big data landscape Joyent is addressing industry demand to reduce costs and decrease query response times. Software product development services company Altoros Systems said that Hadoop clusters on Joyent Cloud produced a nearly 3X faster disk I/O response time versus identically-sized infrastructure. Through the use of the Joyent operating system virtualization and CPU bursting technology, Joyent says it is able to extract better response times and deliver results to data scientists and analysts faster.

“We are pioneering a new era of big data and our Hadoop offering is just the start of our 2013 agenda,” said Jason Hoffman, CTO and Founder, Joyent. “We intend to continue bringing our technical expertise to the market and reverse the typical understanding of big data implementations – that they’re expensive and hard to use. We’re committed to meeting the insatiable demand for faster analytics and data retrieval, changing how computing functions for the enterprise.”

Global telecom Telefonica was an early adopter of Joyent's Hadoop solution.   “Joyent technology powers our service – Instant Servers – and is providing Telefonica Digital an advantage to deliver the fastest performing Hadoop big data solution in our marketplace,” said Carlos Morales Paulin, Global Managing Director, M2M, Cloud Computing and Apps, Telefonica. “Joyent has inversed the big data cost equation while at the same time innovating how computing on large distributed and unstructured data can be accomplished for large enterprises. Our customers can now get insight from their data quicker than ever before without the massive cost that’s typically associated with high-performance big data solutions.”

The Apache Hadoop solution is available immediately for Joyent customers.