When Pivotal Software Inc. partnered with Google and VMware Inc. in 2017 to create a managed Kubernetes offering called Pivotal Container Service, or PKS, it was only a matter of time before the initial beta release progressed to general availability. That time came in February, when it was announced that the service would now enable companies to create software containers and bundle applications for deployment across public and private clouds.

“Pivotal’s whole talk track really is changing how companies build software,” said Jacque Istok (pictured), chief technology officer of Pivotal. “The introduction of PKS really takes us to the next level, which is that there is no digital transformation without data and basically Kubernetes and PKS allow us to implement that and perform for our customers.”

Istok spoke with George Gilbert (@ggilbert41) and Lisa Martin (@LuccaZara), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, at the BigData SV event in San Jose, California. They discussed comparisons with Hadoop and Pivotal’s product offerings for the cross-platform world. (* Disclosure below.)

Greenplum for cloud analytics

The news surrounding PKS is yet another strategic move by Pivotal to position its offerings as cross-platform solutions to make life easier in enterprise computing. The company rolled out the latest version of Greenplum, its cloud analytics database, last September and views it as a viable option compared with Hadoop.

“Because Hadoop didn’t quite integrate into the classic enterprise, products like Greenplum are suddenly very popular,” Istok said. “I feel like we’re on this upswing of getting everybody to understand that you don’t have to go to Hadoop to be able to do structured and unstructured data at scale. You can actually use some of these other products.”

In addition to Greenplum and PKS, Pivotal also offers an in-memory NoSQL data grid called GemFire, which can rapidly ingest information and perform analytics in real time. An example cited by Istok involved a wind turbine that could generate an alert if the operating temperature exceeded a critical window.

“If you can do that in real time, you can actually save millions of dollars by not letting that turbine fail,” Istok said.

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

Photo: SiliconANGLE