‘The common theme here is really around having the best unified storage portfolio on-premises and in the cloud, with security built in and with AI as a focused workload,’ says Jeff Baxter, NetApp’s ...

Pure Storage Inc. today introduced the Enterprise Data Cloud, calling it a sweeping architectural upgrade to how organizations store, manage, and use data across hybrid environments. The company says ...

NetApp Inc. is bolstering its product portfolio with three new flash arrays and updated versions of its cloud-based storage services. The company detailed the product updates at its annual Insight ...

Which are the top storage array makers and what are their strategies towards the cloud, containers and consumption models of procurement? In this article, we rank the top storage suppliers according ...

The new suite includes an all-new quad-level cell (QLC) flash storage array with public cloud replication and an object storage appliance. Hitachi Vantara, the data storage, infrastructure, and hybrid ...

Pure Storage announced its Enterprise Data Cloud platform at its Las Vegas conference, positioning the technology as a fundamental shift from traditional storage management to unified data governance ...

Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi, Ltd., is announcing new solutions for its Virtual Storage Platform One data platform designed ...

In a move that could significantly shake up the way data centers are architected, EMC Tuesday updated its flagship VMAX storage solution with new software and a new storage hypervisor that could ...

Pure Storage’s recent launch of its Enterprise Data Cloud reignited debate around storage and data management. Pure claims its EDC addresses the management of growing volumes of data in a complex ...

EMC Corp. Tuesday unveiled a high-end Symmetrix storage array that is based on Intel Corp.’s x86 quad-core processors and integrates VMware’s APIs to automate the provisioning of storage for virtual ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.