HPE adds unified analytics and native Kubernetes object store to GreenLake offering
IDC has predicted that the big data and analytics software market will reach $110 billion over the next two years. On Tuesday, Hewlett Packard Enterprise Co. added its own disruptive influence through GreenLake to a transformation of that market.
The company announced a series of new cloud services for the HPE GreenLake edge-to-cloud platform, with the goal of providing a cloud experience everywhere. The latest enhancements included GreenLake for analytics and an edge-to-cloud adoption framework.
“We’re announcing a cloud services way to deliver that same cloud-based analytical capability, machine learning data engineering through hybrid analytics,” said Matt Maccaux (pictured, right), global field chief technology officer of Ezmeral software at HPE. “It’s a unified platform to tie together everything from data engineering to advanced data science.”
Maccaux spoke with Dave Vellante, host of theCUBE, SiliconANGLE Media’s livestreaming studio, during the HPE GreenLake Announcement event. He was joined by Holger Mueller (pictured, left), vice president and principal analyst at Constellation Research Inc., and they discussed enhancements for data handling in containerized environments and the need for optimized analytics and cloud services in hybrid platforms. (* Disclosure below.)
Object store for analytics
The firm’s announcement included HPE Ezmeral Data Fabric Object Store, billed as the industry’s first Kubernetes native object store optimized for analytics performance. This new feature will provide access to datasets from edge-to-cloud, and it represents an important advance in the handling of data within containerized environments, according to Mueller.
“We’ve oversimplified things with containers because containers don’t have what matters for data and the enterprise, which is persistence,” Mueller explained. “That’s not solved in the container world by itself. It’s coming now with the heavy lifting by companies like HPE to provide that persistence of data across the different deployment platforms.”
A key feature the latest GreenLake enhancements is to allow enterprises in on-premises environments to use services built to be cloud native and avoid complex data migrations to public cloud through an elastic, unified analytics platform.
“A big part of this announcement is unified analytics so you can continue to run the tools that you want today while bringing those next-generation tools based on Apache Spark and using libraries like Delta Lake,” Maccaux said. “GreenLake has been offering virtual machines, infrastructure as a service, and we want to stop talking about that underlying capability because it’s a dial tone now. What organizations and developers want is the service; give me a service or function like I get in the cloud.”
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
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