Run Cloud Analytics
with On-Premises Data

Use your data-as-a-service to accelerate the time it takes to kick off your analytics job. Hammerspace is a fast and straightforward approach to hybrid cloud data management without the limitations of storage silos. With data-as-a-service, you can self-service all your data management needs without the need to engage IT. Hammerspace takes the complexity out of finding and accessing your data from any storage and with any data service – on-demand.

Download Solution Brief

Data Beyond Storage

Improve data agility and run more jobs faster with Hammerspace, a workspace for data free from the rigidity of storage silos. Hammerspace is a storage and protocol agnostic hybrid cloud data control plane, abstracting data from the infrastructure using machine learning together with metadata management to deliver Data-as-a-Service to data consumers.

Try Hammerspace

All it takes to connect your AWS environment to your on-premises data is to deploy a VM to host Hammerspace and point it at data in your NAS infrastructure. Hammerspace is entirely non-disruptive to the storage infrastructure. It doesn’t alter any data or hardware configurations making it a straight-forward addition that does not interrupt IT operations.

Product Overview

All data available anywhere,
everywhere – on-demand

Serving up your data-as-a-service is the best way to quickly maximize the value of your data on the cloud.Free application owners, data scientists and data engineers from the time-consuming process of managing data sprawl across storage silos, impacting the monetization of company data.Hammerspace is the only solution that can easily accomplish this mission without adding complexity to the process.

Data Discovery and Preparation

Data Discovery and Preparation

  1. Data Catalogs
    Orchestrate data catalogs with metadata management to introduce agile information governance and cope with data sprawl.
  2. Index & Search
    Finding data and evaluating its quality is critical to successful data operations. Global visibility and metadata management make this a fast and dependable operation.
  3. Metadata-as-a-Service
    User-defined metadata can tag individual files to manage transformation and curation history for lineage management.

Hybrid cloud data management

  1. Self-service
    Global data visibility discovers data sprawled across the hybrid cloud, eliminating tedious IT service queues. Data is virtualized in a global namespace at file-level granularity and managed with metadata-as-a-service to make it easy to index, search, and catalog.
  2. Instant Access – Don’t Copy
    Waiting for IT to service and copy data takes too long. Hammerspace is lightweight, fast, and fully automated with machine learning to move live-data on-demand. Start data jobs start right away regardless of where data is physically located.
  3. Enterprise Data Services
    Protect data across the hybrid cloud with enterprise data services like global snapshots, disaster recovery, data replication and intelligent data archives.

Predict and manage the cost of data in the cloud

  1. Machine Learning
    Predict and continuously optimize the cost of your data across the hybrid cloud, measuring application performance telemetry, and storage and network costs.
  2. Live data mobility
    Non-disruptively move data to the most efficient service available to balance cost and data performance in real-time.  
  3. Analytics and Reporting
    Intuitive dashboards show the cost of your data across the infrastructure at any moment. Efficiently develop cloud strategies to meet the needs of your data as it grows with predictive infrastructure modeling.