Smashing the complexity of managing file data on the hybrid multi-cloud.
Stop managing infrastructure to get access to your file data. Data is securely available anywhere through a universal global namespace, regardless of the infrastructure on-prem, across sites, or on the cloud.
Instantly burst-to-cloud to access elastic compute and cloud services. Access data-in-place with a universal global namespace and live data mobility, on-demand or by policy.
Simplify the journey to cloud with Active-Disaster Recovery for files, volumes, or applications. Protect production data with automated failover and failback for instant recovery to any cloud or storage infrastructure.
Uncomplicate persistent data management for multi-cluster Kubernetes. Data orchestration is declarative and storage agnostic with native integration of data services and protection, simplifying DevTest workflows and app mobility.
Data management is getting more complex, not less, with hybrid multi-cloud. Hammerspace abstracts away the complexity of your infrastructure, making it easy to create value from your file data.Learn About our Solutions
Data-as-a-Service for the Hybrid Multi-Cloud
Instantly find and access your file data on any cloud and on any infrastructure at high-performance, safely and securely.
Universal Global Namespace
Abstract away infrastructure complexity with a universal global namespace. Instantly make data available anywhere, eliminating friction between users, apps, and IT caused by sprawling data silos. Support for common open protocols reduces the need to refactor applications for the cloud.
Cloud-Native File Data Services
Stop managing data through the infrastructure. Cloud-native file data services follow your data, independently of the infrastructure where it happens to be stored. Services like replication, archival, DR and snapshots are defined in the metadata and managed by Hammerspace.
Autonomic Data Management
Turn-on cloud in minutes with a data management platform built to deliver
cloud-native data services at scale with file-level granularity. Machine learning works to meet declared objectives, continuously optimizing data placement across the infrastructure.
Easily discover and access data with a data-centric approach to rise above the infrastructure. Use enriched extensible metadata, performance telemetry, and location to enable users to self-service data management across any cloud.
Use with existing or commodity infrastructure. Consolidate and improve resource utilization for environments with mixed storage systems and services, on-prem and cloud-native.
Available in cloud marketplaces and on-prem as software-only deployments.
Align Competing Agendas for Enterprise Data
Accelerate the time-to-value creation from data. High-performance, universal discovery and access lets apps and users manage data directly, abstracted from the infrastructure.
Manage risk through policy to define data governance and protection that follows the data, regardless of the infrastructure. This data-centric approach enhances security, governance, compliance and retention.
Improve resource utilization and reduce the cost of a growing data estate. Autonomic data management alleviates the burden of tedious, labor intensive tasks across a complex ever-changing infrastructure environment.