Hammerspace Introduces an All-New Storage Architecture | Read the Press Release

Financial Services

Overview

Financial services organizations manage a broad range of data types and use cases including both structured and unstructured data. As in other high-performance industries, the fragmentation of data across incompatible storage silos at the edge, in multiple data centers and cloud repositories has become a significant problem that adds costs, increases risk, but also inhibits organizations from easily performing in-depth analysis of their data.

Whether it is the need to bridge multiple data centers, or to bridge on-premises data centers with one or more cloud resources, or even to manage multiple-vendor storage silos within a single data center, each of these use cases creates problems of increased latency for users and complexity for IT staff. Add the requirement to tie together remote data sources and teams, and the problem gets even worse.

High-performance workloads need high-performance infrastructure. But data management point-solutions that are typically used to copy data between silos were never designed to provide the kind of high-performance global access needed to enable true cross platform analytics and management of data. So instead of bridging the gaps, they become a bottleneck between them.

This complexity adds friction to user workflows, and stretches IT resources and budgets in multiple areas:

01. Global Visibility and High-Performance Data Access

Data inevitably gets trapped in expensive storage silos, creating fragmentation of access and inefficient use of resources. This adds to Administrative overhead, and lowers storage utilization efficiency on the most expensive resources in the data center.

02. Eliminate Copy Sprawl

The proliferation of multiple copies of the same datasets between locations to bridge storage silos adds tremendous waste and expense. The infrastructure cost is too high and the burden on IT too great to keep track of the different data copies.

03. Enabling Seamless Collaboration

High volume datasets must be accessible to users and applications for analysis and other downstream use cases such as AI inferencing, use cases that are increasingly difficult when data is siloed. Increasingly storage vendors propose new centralized repositories to solve the data fragmentation problem. This duplicates resources, adds significant costs, and limits flexibility for data owners and IT teams.

Hammerspace Solution

Solving the Problem Without Replacing Existing Storage Resources

Hammerspace software is designed from the ground up to bridge incompatible storage silos from any vendor across diverse data sources at the edge, in data centers and the cloud. It is software designed to provide customers with global access and control without the need to rip and replace existing storage platforms.

Whether for managing data services across multiple tiers and locations, or to create a cross-platform data fabric for analytics and/or other AI inference pipelines, Hammerspace enables customers to leverage existing infrastructure while getting the advantages normally associated with migrating all data into a centralized repository.

At the core is its high-performance Parallel Global File System that can span on-premises and cloud instances to provide a cross-platform global namespace to all users everywhere.

With Hammerspace, all users in all locations see the same file system metadata, even for environments spanning multiple on-prem and cloud-based storage and compute environments. And with metadata-driven objective-based policies, data management is automated behind the scenes across silos and locations without interrupting users or applications.

Hammerspace is designed to help financial services organizations overcome the problems of silo sprawl, without the need to retool their data centers with one-size-fits all storage. Because the Hammerspace file system is global, and data orchestration can be automated seamlessly across all silos and locations, analytics & AI pipelines as well as conventional data workloads can now be optimized and rapidly adapt to new use cases as they occur.
Get the most out of your environment and your data with Hammerspace.