About Hammerspace
Hammerspace delivers a global data environment which spans across data centres, AWS, Azure, and Google cloud infrastructure. With origins in Linux, NFS, open standards, flash and deep file system and data management technology leadership, Hammerspace delivers the world’s first and only solution to connect global users with their data and applications, on any existing data centre infrastructure or AWS, Azure and Google services.
A Hammerspace, is a “fan envisioned, extradimensional, instantly accessible storage area in fiction, allowing animated characters to produce objects out of thin air” Hammerspace, the tech company, seemingly does the same with your customer’s data. The Hammerspace Global Data Environment instantly connects global users with their data and applications, on any existing data centre infrastructure, cloud service, or hybrid cloud, seemingly out of thin air.
Hammerspace Helps Make Your Customer’s Data Global
Hammerspace is a software-defined data orchestration and storage solution that unifies data into a single, global namespace across geographic locations, different storage types, and multiple data centres and clouds.
The Hammerspace Global Data Environment provides users and applications the experience of ‘local’ access to all their data, no matter where it’s stored, or where the users or applications are located.
Read/Write From Anywhere
Leverage all of your data, from anywhere in the world, no matter where it is stored.
Unify Data Silos
Unify all of your data from edge, across datacenters, and the cloud into a single, accessible data set.
Overcome Data Gravity
Move your data with ease to the compute resources or applications that help you innovate.
How It Works
The Hammerspace solution provides a truly global file system which integrates advances in machine learning and NAS protocols to free data from the constraints of legacy storage solutions.
Metadata Replication
By managing metadata separately from data, it becomes possible to make file data appear virtually anywhere without copying it. Across sites, data is replicated asynchronously with multi-site collision detection so that data is never lost.
Machine Learning Policy-Engine
A machine learning engine runs a continuous simulation between data and available infrastructure resources. The model provides a rich understanding of the global data environment by continuously collecting performance telemetry from workloads for each file accessed. Data management decisions are made in real time at file-level granularity, balancing performance and cost across the hybrid cloud.
Live Data Mobility
Data is non-disruptively mobilized to deliver agility and high-performance access to data across the hybrid cloud using scale-out data services. Live data mobility between storage systems and cloud services is achieved using advanced data layout techniques to seamlessly move data through the file system, even during active read/write.
Case Study
Jellyfish Pictures selects Hammerspace to provide a Global Data Environment for Virtual Production