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Data Orchestration

Bring Automation and Intelligence to Unstructured Data Management

Ensure the Right Data is in the Right Place at the Right Time.
Request a DemoExplore the Platform
Discover
Unstructured Data on Any Storage
Evaluate
Map Objectives to Business Goals
Continuous Optimization
Act
Automate data placement with zero disruption

Overcome Data Gravity Using Metadata-driven Automation

Traditional data migration and tiering tools are disruptive one-shot operations, requiring downtime for applications and users. AI demands constant real-time optimization without interrupting business operations.

    The Enterprise Data Proliferation Challenge

    Most organizations manage data through infrastructure-centric processes. As new storage systems, clouds, business units, and AI projects are introduced, data is repeatedly copied to satisfy location, performance, governance, and access requirements.

    The result is growing operational complexity, inconsistent governance, rising costs, and delayed business outcomes. 

    Data orchestration replaces manual data management with policy-driven automation that continuously aligns data placement with business objectives.

The Hammerspace Data Orchestration Framework

1

Discover

Unify unstructured data from any storage, anywhere into a single global namespace.
Assimilation
2

Evaluate

Define desired outcomes using business policies and metadata.
Metadata-driven Objectives

Objective-Based Automation

Continuous Evaluation & Optimization

Continuous Evaluation & Optimization

Objective-Based Automation

3

Act

Continuously place, move, tier, protect, and optimize data without disruption.
Automated Execution

Automate the Flow of Data with Metadata-Driven Orchestration

  • Objectives-based Data Placement Policies

    Declare outcomes using plain language business rules and Hammerspace will realize it.

  • Metadata Intelligence

    Use file, object, user, location, project, compliance, or custom metadata as orchestration inputs

  • Continuous Optimization

    Hammerspace detects changes in real-time and autonomously manages alignment with objectives

The System-centric Vs. Data-centric Approach to Data

Capability

Traditional System-centric

Hammerspace Objective-centric Orchestration

Data Placement
Data Placement
Rigidly tied to vendor architecture, LUNs, volumes, and hardware arrays.
Dynamic, intent-driven placement across multi-vendor, hybrid, and multi-cloud based on requirements.
Data Movement
Data Movement
Manual migration or copies that require external tools, planned downtime, and user disruption.
Live, background, non-disruptive mobility. Underlying infrastructure is invisible to users.
Protocols
Protocols
Fragmented, protocol-specific silos (NAS or Object), or low performance complex gateways.
Unified native access (parallel file system, NFS, SMB, Object) on the same shared data plane.
Security, Protection, and Compliance
Security, Protection, and Compliance
Fragmented per-vendor or third-party specialized tools, frequent manual intervention, and complex replication scripting.
Global policies across sites, access settings move with the data, cross-site versioning, immutable snapshots, and WORM
Decision Model
Decision Model
Administrator-driven
Policy and metadata-driven

Streamline Data Management and Unlock Agility

Transform your data infrastructure from a disconnected collection of assets into a managed enterprise service.

AI initiatives depend on the ability to rapidly operationalize data across training, inference, analytics, and business workflows. Data orchestration automates the placement, movement, and alignment of data with business objectives, ensuring the right data is available in the right location at the right time.

  • Overcome Data Gravity

    Move select and appropriate data across locations, storage systems, and clouds without disrupting access.

  • Operationalize Data for AI

    Automatically position training data, embeddings, checkpoints, inference datasets, and analytics data wherever they are needed.

  • Eradicate Data Silos

    Unifying data access allows users to view, modify and collaborate in real time. Gone are the days of forking copies to account for architectural limitations.

  • Reduce Costs and Increase Productivity

    Reducing copy proliferation, automating proper tiering, and increasing agility unlocks lower costs and rapid adoption of new technology. 

Data Intelligence in Action

Traditional storage architectures were built to manage infrastructure — not to serve data. Hammerspace flips the model. Instead of forcing data to conform to system constraints, data placement is driven by business objectives and metadata-defined intent.

One Platform for Every Stage of Your AI Pipeline

The Hammerspace Data Platform connects every data source to every compute resource through a single, policy-driven orchestration layer.

Whether you are running distributed training, serving real-time inference, or managing multi-site model pipelines, data is always in the right place at the right time.
API, MCP
pNFS w/ Flex Files
S3, NFS, SMB
CSI Plugin

Unified Data Plane

Multi Protocol Access • On-prem and Cloud • Data In Place Access

Automated Data Services

Actionable Metadata • Objectives-based Policies • Data Protection

Accelerated Data Orchestration

Moves data to high-performance, other tiers, sites, and clouds

Silo-less Data Storage

High-Performance AI Storage • File • Object • Cloud • 3rd Party
Edge
NAS
Object
Cloud
Move datasets between storage systems, locations, and cloud tiers without interrupting active workloads. Files can be relocated while being read or written. No pipeline disruptions, no re-queued jobs.

Integrate data orchestration directly into your MLOps and DataOps pipelines. Automate dataset staging, checkpoint placement, and model weight distribution as part of your CI/CD workflows.

Ready to Automate Your Data?

Stop managing infrastructure and start orchestrating your data. Discover how Hammerspace uses policy-driven intelligence to eliminate data silos and accelerate your AI initiatives.
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