Hammerspace Data-as-a-Service for the Hybrid Cloud On Google Cloud Platform Marketplace

Hammerspace, Inc., a software company dedicated to simplifying data consumption across hybrid cloud and containers, announced the availability of its Data-as- a-Service platform on the Google Cloud Platform (GCP) Marketplace.

Availability of the Hammerspace Data-as-a- Service on the GCP Marketplace will allow customers to manage and protect their data across hybrid cloud with global enterprise file data services. With support for any on-premises storage and GCP storage classes, Hammerspace makes it easy for DevOps, application owners, and data operations to consume their data-as-a- service on-premises, cloud, and container environments.

The global accessibility of data across hybrid cloud and Kubernetes environments is one of the biggest challenges for improving agility and scaling workloads. Data must be readily accessible while being protected and governed for compliance across sites with enterprise data services – all without sacrificing performance. Hammerspace ML and non-disruptive live-data mobility puts data where it needs to be; dynamically balancing performance and cost while delivering multi-site data protection, disaster-recovery-as-a-service, and intelligent data archiving.

“Data migrations and the whole idea of purpose-built storage will end up in the dustbin of history,” said David Flynn, CEO, Hammerspace. “With Hammerspace, data is virtualized and abstracted from the infrastructure so that data can be managed automatically and at scale across environments. We are excited to be on the GCP Marketplace, and it’s now easier than ever for our customers to get more out of their data with global enterprise file data services that make sense for the hybrid cloud.”

Google Kubernetes Engine (GKE) is a component of Google Cloud Platform; now with Hammerspace’s availability on the GCP Marketplace, there is an solution for customers to spans data management between these services. Hammerspace intelligently delivers data on-demand or proactively to persistent volumes through standard open protocols, simplifying consumption with native Kubernetes integration. All data is visible and available in a geo-spanning global namespace for orchestration through metadata-as-a-service. Data mobility is performed live and is automated by ML to optimize for cost, performance, and protection.

The company provides a workspace for data that is free from the lock-in of storage silos. With a storage and protocol-agnostic cloud data control plane, it abstracts data from the infrastructure for self- service hybrid cloud data management, driven by ML and metadata management to deliver Data- as-a-Service. Enterprises can make file data cloud-native so they can automate once and deploy anywhere.