While data has become the heart of digital transformation in every industry, significant challenges remain for organizations to successfully execute data-first initiatives. The problems include being stuck with legacy analytics platforms and not being able to orchestrate analytics among hybrid environments.

To help enterprises that still struggle to modernize and unify analytics and data platforms without making tradeoffs between the cloud, on-premises and the edge, Hewlett Packard Enterprise Co. launched new GreenLake cloud services. It marries the benefits of on-premises infrastructure and cloud computing with a consumption-based model to scale data management across all the environments to advance the next-generation analytics, according to Matt Maccaux (pictured, right), global field chief technology officer of Ezmeral software at HPE.

“What HPE is offering is a way to unify the experiences of these different applications, workloads and algorithms while connecting them together through a fabric so that the experience is tied together with consistent security policies, not having to refactor your applications, and deploying tools like Delta Lake to ensure that the organization that needs to build a data product in one cloud or deploy another data product in the trunk of an automobile can do so,” he said.

Maccaux and Vishal Lall (pictured, left), chief operating officer of  HPE Aruba, a Hewlett Packard Enterprise company, spoke with Dave Vellante, host of theCUBE, SiliconANGLE Media’s livestreaming studio, during the HPE GreenLake Announcement event. They discussed the challenges of having analytics in distributed data environments, how HPE addresses these issues through its new cloud services, and trends around data. (* Disclosure below.)

Cost reduction is another promise

HPE has seen a consistent pattern of data needs across different types of industries. In addition to breaking down data silos and applying intelligence to them to gain business value, enterprises want to move freely from one vendor to another and increase performance while controlling costs, according to Lall.

“Customers over the last few years have realized [that] going to public cloud is starting to become quite expensive … especially as they want to address data,” he said. “So cost-performance tradeoffs have started to become really important and started to enter the conversation now.”

All of these issues are among those that GreenLake’s new cloud services aim to solve. By bringing public cloud tools, such as virtualization, Kubernetes, containerization and cloud native services, to data centers and the edge, the platform gives companies the ability to choose whether to keep critical applications on-site to avoid cloud costs or to make faster decisions where the data is.

“I want organizations to think about this unified analytics experience where they don’t have to tradeoff security for cost, efficiency for reliability,” Maccaux explained. “HPE through GreenLake cloud services is delivering all of that where they need to do it.”

GreenLake also meets business demands for openness, as GreenLake is not a proprietary platform; it uses open-source tools like Kubernetes and Apache Spark.

“We are we are very, very clear that one of the important design principles is about choice and openness,” Lall stated. “Customers have a choice. If they don’t want to be on GreenLake, they can go to public cloud tomorrow.”

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the HPE GreenLake Announcement event. (* Disclosure: TheCUBE is a paid media partner for the An HPE GreenLake Announcement event. Neither Hewlett Packard Enterprise Co., the sponsor for theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE