Wednesday, June 06, 2012

IBM to roll out storage products for enterprises

IBM is set to launch two new products for Indian enterprises to pursue the $20.3-billion global computing opportunity.
The world's largest IT company will roll out two new storage products for Indian customers soon. For its IBM Storwize V 7000 and SAN Volume Controller (SVC) products, the company is planning to add real time data compression technologies that will allow enterprises to store five times more data in their storage devices.

SMARTER COMPUTING

As part of its ‘Smarter Computing' strategy, IBM is betting that this approach to designing and managing storage infrastructures will give it an edge over competitors such as EMC and HP.
Mr Subroto Das, Vice-President – Storage, Systems & Technology Group, IBM India/ South Asia, told Business Line: “These offerings are intended to help enterprise customers use computing to achieve faster results with applications that require substantial computing resources to process growing data.”
These offerings will be for large and small Indian enterprises. Also, according to IBM officials, existing enterprises that are using these two products will have an option of buying them separately and adding it to their existing systems.
“Unlike traditional storage systems that compress only data that is infrequently accessed, real-time compression on the Storwize V7000 and SVC systems compresses active data by 80 per cent, increasing storage capacity,” added Mr Das.

MARKET SIZE

IDC's market size as per unit shipments for overall external storage in India for 2011 was $255 million and IBM tops the overall external storage for 2011 with a 28.3 per cent market share.
However, globally EMC has maintained its lead in the external disk storage systems market with 29.4 per cent revenue share in the fourth quarter of 2011, followed by IBM in second with 15.2 per cent market share. Total disk storage systems capacity shipped reached 6,279 petabytes, growing 22.4 per cent over 2010, according to IDC.

1 comment:

Anshul said...

Is this something related to big data and the data compersion upto 5 times that is something serious thank for the info keep posting...
http://techiepocket.com/