HTBase Named A Cool Vendor In Hyperconvergence By Gartner

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HTBase Named A Cool Vendor In Hyperconvergence By Gartner

HTBase has announced it has been included in the list of “Cool Vendors” in the April 27, 2016 report by Gartner, Inc., Cool Vendors in Hyperconvergence, 2016.

Enterprises are modernizing their data center and cloud practices with HTBase.

“We are the only platform that allows organizations to easily build and deploy a modern Cloud Enterprise Infrastructure — consisting of containers, multiple virtualization technologies, storage, network, real-time analytics, sef-service and more — on a single platform. We are proud to have been selected as a Gartner Cool Vendor,” said Louis Smith, partner manager, HTBase.

HTBase differentiates itself in the hyperconvergence space by delivering on the concept of a true software-defined data center (SDDC) infrastructure, while enabling IT to retain existing infrastructure or develop new hardware platforms in greenfields. I&O leaders and decision makers can, therefore, retain and adapt their existing x86 hardware and storage for hybrid cloud solutions, while delivering IT as a service (ITaaS) to their business units.

HyperTask, the base of our Hyperconvergence platform, centrally manages multiple hypervisors, including open-source kernel-based virtual machine (KVM), ESXi, HyperV and Xen; enables existing VMs to migrate between different hypervisors; and supports Docker, bare metal, and integration to AWS and Azure. It also manages storage, network and compute resources, with capacity management, storage resilience, high availability, striping, deduplication, snapshot/replication (with resulting disaster recovery) and automation tools through REST APIs.

Since launching, HTBase has helped CIOs and I&O leaders designing infrastructure as a service with a strong cloud strategy. Moreover, our platform has helped I&O leaders to migrate from legacy environments (regardless of hypervisor or bare metal) to a centrally managed — but independently run — business units, controlling their own resource allocation by either conventional VMs or by containers.

Source: CloudStrategyMag