Universal Storage

A single, unified platform for all unstructured data.

Specifically designed to meet the demands of modern AI computing architectures.

Addresses the trade-offs between performance, capacity, and cost by unifying storage into one tier of flash.

Simplifies storage by making it universal and eliminating legacy tiered infrastructures.

Algorithms that bring the cost of flash in line with HDD storage.

A global data compression technique offering industry-leading data reduction.

Minimize the overhead of failure protection, contributing to efficiency.

Protects QLC flash for a decade, ensuring durability of low-cost flash.

Provides global data access across all compute locations with a decentralized approach to distributed locking for performance and consistency at the edge.

New data structures enable easy, non-impactful snapshots even at exabyte scale, supporting hundreds of thousands of snaps at any system depth.

Asymmetric cluster architecture combines multiple hardware generations into a single cluster, avoiding refresh cycles and data migrations.

Multiple levels of QoS allow scalable service delivery and infrastructure consolidation, governing or isolating I/O flows.

Efficiency algorithms provide storage-level power savings and save on compute power by enabling real-time I/O to the archive.

Embraces open, standard protocols with optimizations, eliminating the need for complex client-side drivers.

Enhancements for high-performance client access, particularly for NFS.

All protocols (NFS, SMB, S3) are written in-house for optimal performance and permissions, sharing equal data and performance access via the Element Store.

A built-in high-speed index for files and objects, enabling real-time, fine-grained queries and data enrichment with custom metadata.

Similarity is a revolutionary global data compression method that efficiently reduces deduplicated, compressed, and encrypted data, with a guarantee to outperform competitors.

A single platform to eliminate data islands with integrated data management.

Parallel file system speed with NAS simplicity, removing limitations of legacy NFS without proprietary clients.

Enterprise workload support with multi-channel for non-disruptive, high-performance operations.

High-performance object storage for modern data analytics and massive scale.

Programmatically create persistent and ephemeral Kubernetes volumes.

Achieves predictable, high performance for machine learning and deep learning workloads.

Future-proofs infrastructure for next-generation workloads.

Independently scales performance and capacity in a single massive namespace.

Secure multi-tenancy with multiple authentication sources.

Unified permission model for multi-protocol access to any data.

High-speed, built-in index of files with point-in-time granularity.

Optimizes resource utilization with granular quotas.

Protects data from ransomware and insider threats.

Monitoring via intuitive UI or export to log analytics tools.

Ensures consistency of operations across the cluster.

Supports multiple securely isolated tenants across common infrastructure.

Implements data management policies with cloud workflows.

Granular protocol and admin access audit logging.

Achieves ACID database guarantees with parallel file system performance and object store scale.

Non-volatile, cluster-wide metadata management for resilience, scalability, and performance.

Unleashes ultra-dense, low-cost hyperscale flash for any workload with decade-long SSD durability.

Protects data in transit and stored on flash.

Revolutionary erasure coding with minimal overhead (2.7%) and rapid rebuild times.

Controllers fail gracefully, and SSDs rebuild against free space even before replacement.

Dedicated pools of CNodes provide CPU-based QoS boundaries, serve common data across disparate networks, and enhance security.

Control disaster recovery workflows with automated synchronization and reversed replication.

Leverages remote S3 storage for system backups.

Secures administrative access.

Sold as managed software on hardware that can be bought directly from manufacturers at cost, offering commercial flexibility and savings.

Designed for optimized balance of performance and capacity, collaborating with leading enterprise technology manufacturers.

Allows mixing and matching across generations of flash and storage compute infrastructure.

Supports block storage for transactional databases and stateful containerized applications.

Transforms DataStore into a fully unified data platform supporting streaming data.

Compatible with VMware, Hyper-V, and other hypervisors for managing virtual machines.