- V3 Apps
DataDirect Networks (DDN) is preparing to ship a scalable pre-integrated datacentre appliance designed to speed deployment of Hadoop-based big data analytics for enterprise customers.
Set for general availability from 31 March, the hScaler appliance is claimed by DDN as the first platform for big data that enables enterprise customers to get up and running without the difficulty and steep learning curve typically associated with configuring and using Hadoop.
The hScaler appliance is built on top of DDN's SFA12K-40 converged storage array, which is capable of 40GB per second sustained block throughput, and also combines built-in compute capability.
This architecture eliminates bottlenecks for Hadoop compute nodes and reduces the amount of hardware, rack space and cooling required to implement infrastructure for big data applications, according to the firm.
The hScaler appliance ships with management tools including DDN's DirectMon suite to make it easier for IT staff to manage the infrastructure, plus built-in extract, transform, and load (ETL) tools to help data scientists get to grips with the analytics work.
Taken together, these will enable customers to shorten Hadoop deployments to hours rather than weeks or months, and cut the cost of implementing it, according to DDN.
"DDN's hScaler appliance represents the next step forward in the democratisation of Big Data," said Jean-Luc Chatelain, DDN's vice president of strategy and technology.
"It takes an advanced analytics solution that was economical for only the richest and most information-driven organisations in the world and puts it well within the grasp of enterprise CIOs."
The firm had not responded to a request for pricing from V3 at the time of publication.
Daniel Robinson is technology editor at V3, and has been working as a technology journalist for over two decades. Dan has served on a number of publications including PC Direct and enterprise news publication IT Week. Areas of coverage include desktops, laptops, smartphones, enterprise mobility, storage, networks, servers, microprocessors, virtualisation and cloud computing.