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The VAST DataSpace

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The VAST DataSpace unifies data from every location and enforces strict global consistency, so AI and analytics run with local performance and scale seamlessly to meet enterprise demands.

  • Asynchronous Replication for Data Durability

    • Protect data durability across sites without disrupting active workloads. Updates are transferred efficiently in the background, preserving performance and ensuring every dataset remains recoverable and up to date.

  • Synchronous Replication for RPO Zero

    • Mirror critical data in real time between clusters for instant recovery and uninterrupted operations. Every write is committed simultaneously across sites, ensuring zero data loss and maintaining edge-to-cloud data consistency for mission-critical workloads.

  • Snap‑to‑Object

    • Capture point-in-time images as S3-compatible objects to archive, clone, or recover instantly. Snap-to-Object reduces storage overhead and accelerates data protection by turning snapshots into durable, cloud-native assets.

  • Clone Snapshots Across the DataSpace

    • Create writable clones from any snapshot and share them instantly across clusters for parallel workstreams. Teams in different regions can analyze, edit, or train on the same data simultaneously without delay or duplication.

  • Global Namespace

    • Unify data across all sites into a single, consistent view that spans edge, core, and cloud environments. Predictive caching and intelligent prefetch keep information close to compute, eliminating silos and latency for globally distributed workloads.

  • Read and Write Leases

    • Guarantee strict consistency across all clusters without the latency of traditional file locks. Fine-grained read and write leases allow multiple sites to work with the same data simultaneously while always maintaining a single source of truth.

  • Workload-Aware Data Movement

    • Move data intelligently between clusters based on workload demand. Adaptive modes automatically fetch, pre-stage, or schedule synchronization to balance performance, cost, and efficiency.

  • Lazy Mode

    • Fetch and update data only when accessed, minimizing network traffic and cost for read-heavy or archival workloads. The VAST DataSpace caches frequently used data locally, eliminating unnecessary transfers and optimizing storage efficiency.

  • Eager Mode

    • Pre-stage data ahead of scheduled jobs so they start instantly and run at full speed. Workloads launch without delay as required datasets are positioned in advance for maximum throughput and utilization.

  • Metadata Prefetch

    • Make data folders feel local without the overhead of transferring data that may not be accessed. Allow remote workloads to select data quickly.

  • VAST Cloud Instances

    • Deploy VAST clusters natively in AWS, Azure, or Google Cloud to extend compute and data platform services’ elasticity. Ephemeral instances provide high-speed, read-optimized access, while persistent instances mirror writes for full data durability.

  • VAST on Cloud Clusters

    • Integrate cloud and on-premises environments into a unified global fabric. Workloads move seamlessly between locations, maintaining consistent performance and data integrity across every deployment.

  • Archive Clusters

    • Tier infrequently accessed data to cost-efficient cloud storage without changing workflows. Cold datasets remain instantly available through the same namespace, reducing expense while ensuring long-term accessibility.

  • Unified Management Plane

    • Manage every VAST cluster and cloud instance through a unified control plane for multicloud data management. Administrators can monitor health, set policies, and orchestrate replication or synchronization across the entire DataSpace environment.

  • Global Visibility and Control

    • Gain a consolidated view of performance and data flows across all locations. Alerts, analytics, and dashboards simplify operations and accelerate response times when workloads or clusters need attention.

  • Automated Policy Management

    • Define global rules for synchronization, access, and replication through the DataSpace control plane. Automation enforces these policies consistently across clusters and clouds, reducing manual effort and operational risk.

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