In an industry where collaboration provides the strength to grow, Hortonworks Inc. and IBM Corp. are ramping up their partnership by aggregating Hortonworks Data Platform with the IBM Data Science Experience to create new integrated solutions that will advance both companies’ technology agendas in their core areas of expertise.

“Now this relationship is actually gone beyond that where both teams [have] very compelling reasons [for the partnership]. We do a lot of great work around the data space, and IBM is doing a lot of great work on the data science side. Combining these two together is going to bring a lot of value to the customer,” said Nadeem Ashghar (pictured, right), field chief technology officer and global head of technical alliances and partner engineering at Hortonworks.

During the DataWorks Summit in San Jose, California, Ashghar and Alex Chen (pictured, left), director of storage at IBM, discussed the partnership extension with Lisa Martin (@Luccazara) and George Gilbert (@ggilbert41), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio. (* Disclosure below.)

Focusing on bigger and better data technology

The partnership means the end of IBM’s BigInsights solution development; the good news for Hortonworks is that the hundreds of current IBM BigInsights customers will migrate over to HDP. Additionally, Hortonworks will now resell the IBM Data Science Experience, a social environment built by data scientists for collaborative analytics. Expect to see new products coming out of the collaboration that integrate HDP with IBM Big SQL, IBM’s SQL engine for Hadoop (Hadooop is an open-source-based software used for storing, processing and analyzing big data), Chen explained.

This will free up IBM to focus on products such as its High-Performance Computing product IBM Spectrum Scale, which will advance machine learning capabilities. IBM Spectrum Scale is an HPC shared-disk file management solution that enables rapid access from multiple servers. IBM has a large number of customers already deploying Spectrum Scale with a high volume of data numbering in hundreds of petabytes.

“As we venture deeper into machine learning, the amount of analytics over a larger number dataset is only going to grow. … Only through more data [will] your model become more complete and more smarter and more refined. We’re only at the beginning of all this explosion, using analytics to be able to make the right business and Spectrum Scale,” Chen said.

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s independent editorial coverage of DataWorks Summit. (* Disclosure: Hortonworks Inc. sponsored this DataWorks Summit segment on SiliconANGLE Media’s theCUBE. Neither Hortonworks  nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE