IBM enhances storage for big data

BANGALORE, INDIA: IBM expanded its Smarter Computing initiative and enhanced to its storage and technical computing systems for Big Data.

IBM announced a new strategic approach to design and manage storage infrastructures with greater automation and intelligence, as well as performance enhancements to several storage systems and Tivoli Storage Productivity Center suite.

The company also announced its first offerings that incorporate software from Platform Computing, a company that IBM acquired earlier this year.

“Enterprises are dealing with data that is increasing exponentially in both size and complexity,” said Rodney Adkins, senior vice president of IBM Systems and Technology Group. “The enhanced systems and storage solutions we’re announcing today have the performance, efficiency and intelligence to handle this Big Data. This is smarter computing that allows our clients to organize and analyze their data to better understand and serve their customers.”

The company also today announced a formal approach on IBM Smarter Storage. With this approach, customers are able to architect storage infrastructures that leverage Real-time Compression technology and automated tiering.

IBM also announced enhancements to several of its products, such as it is adding Real-time Compression to IBM Storwize V7000, as well as to IBM System Storage SAN Volume Controller (SVC) storage virtualization systems.

In addition to Real-time Compression, IBM also added four-way clustering support for Storwize V7000 block systems that can double the maximum system capacity to 960 drives or 1.4 petabytes, claims the company in a release.

“Smarter Storage is an approach to the design, deployment and management of storage infrastructures,” said Subroto Das, vice president, Storage, IBM India South Asia. “It is a more intelligent, efficient and automated approach that fundamentally changes the way we think about storage. We will enable organizations to take control of their storage, gain more valuable insights from their data, and ultimately deliver more value to the business.”