Inhi Cho Suh, the vice president of product management for IBM’s information management business, discussed her company’s latest Big Data announcements in an interview with Wikibon’s Dave Vellante.

Suh states that her company’s goal is to facilitate analytics at the speed of exploration. This objective was underscored by the recent launch of BLU Accelerator and BigSQL, an SQL interface for IBM’s InfoSphere BigInsights Hadoop distribution. These two software two solutions were introduced as components of Big Blue’s Big Data stack, an integrated appliance branded as PureData.

Vellante asks Suh about her take on a speech by Stefan Groschupf, the co-founder and CEO of Datameer, in which he argued that at its core, Hadoop will always remain a batch system.  She concurs, and takes the opportunity to talk about her company’s real-time analytics technology.

“Hadoop is really offline batch, and the design point is to leverage the distributed memory and all system capabilities of that kind of architecture. With stream computing it’s a completely different design of being able to sense and respond. When I think about Hadoop, [ I] think about the things you do in your head, you’re in a mode of deep reflection, you want to sit back [and] think about what happened during the day,” Suh says. “When you’re in sense and respond mode…you’re naturally responding based on instinct and experience all in under a second.”

Vellante points out that there are numerous players with a Hadoop distribution on the market, but few, if any, can compete with IBM’s services business. Suh agrees: the fact most organizations lack in-house Big Data expertise means external assistance is often a necessity for Hadoop projects.  Her company is helping customers deploy Hadoop, design algorithms for processing their data and get the most value out of their existing infrastructure.

See Suh’s entire segment below: