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    The Trusted Distributed Storage Choice for Mass Data

    Oceanstor Mass Data Storage

    OceanStor Mass Data Storage offers distributed storage systems that effortlessly handle diverse applications and services, such as HPC/HPDA and virtualization/cloud resource pools.

OceanStor Mass Data Storage

The Huawei OceanStor Series is a suite of distributed storage systems specifically designed to handle mass data. As such, it helps enterprises unlock the value of mass data, offering diversified storage for applications such as virtualization and cloud resource pools, big data analytics, High-Performance Computing (HPC), video, content repository, backup, and archiving.

Market Rankings

Data from IDC's PRC Software-Defined Storage (SDS) and Hyper-converged System Market Overview, Q3, 2020.

  • China Market

  • China
    File Storage

  • China
    Object Storage

  • China
    Block Storage

Reviews from Gartner Peer Insights

"It supports powerful architecture such as a fully symmetric distributed architecture, as well as either objects or file storage, offering excellent performance." more>>

— Software Developer in the Healthcare Industry

"The best horizontal scaling program on the market." more>>

— Digital Marketing Manager in the Transportation Industry

"A large-proportion of Erasure Code (EC) is supported and, compared with the three-copy mode, the space utilization rate is improved by at least 30%. The performance density and capacity density are also improved, resulting in great cost-effectiveness." more>>

— Engineer in the Government Industry

"The powerful EC data redundancy protection technology guarantees that application operations remain stable, even if four nodes fail simultaneously." more>>

— Manager in the Media Industry

Disclaimer: The Gartner Peer Insights Customers’ Choice badge is a trademark and service mark of Gartner, Inc., and/or its affiliates, and is used herein with permission. All rights reserved. Gartner Peer Insights Customers’ Choice constitute the subjective opinions of individual end-user reviews, ratings, and data applied against a documented methodology; they neither represent the views of, nor constitute an endorsement by, Gartner or its affiliates.

Huawei Mass Data Storage Family

Performance models

    Capacity models

      Select the Best Storage for Your Business

      • solution 01

        HPC Storage Solution

        With extensive applications in scientific research, oil and gas production, and genome sequencing, HPC has high requirements for computing and storage performance, scalability, and Return On Investment (ROI).
        The OceanStor Pacific Series provides distributed, parallel file clients with industry-leading performance for HPC platforms. These clients are compatible with Portable Operating System Interface (POSIX) and Message Passing Interface-Input/Output (MPI-IO), to better adapt to HPC services. The series also features automatic storage tiering, which optimizes architecture to increase both efficiency and cost-effectiveness.

        Typical uses: Marine meteorology, genome sequencing, energy exploration, remote sensing satellites, and autonomous driving.
      • solution 02

        Decoupled Storage-Compute Big Data Solution

        By monetizing data through big data analytics, enterprises are encouraged to store data for longer periods of time, straining limited Information Technology (IT) resources as data volumes increase from PBs to EBs. As a result, cost optimization for mass data storage has become a critical issue.
        The OceanStor Pacific Series provides a decoupled storage-compute big data solution for the mainstream platforms of big data analytics. This solution expands compute and storage resources on demand without altering applications, slashing Total Cost of Ownership (TCO) by more than 30%.

        Typical uses: Finance, carrier log retention, governments, and Smart City projects.
      • solution 03

        Content Repositories, Backup, and Archiving

        Object storage is gaining in popularity due to the increasing volume of Internet services, agile releases and cross-region access for mass data, cost-effective multi-temperature data storage, and growing backup and archiving requirements.
        The OceanStor Pacific Series constructs storage resource pools for mass volumes of objects to provide online services with large throughput in real-time, including frequent hot access to Internet data, as well as online audio and video data. The series also automatically implements long-term storage of cold data in Blu-ray media. This energy-efficient approach streamlines data access and reduces the storage costs of mass data.

        Typical uses: Bank check images and dual-recording (sound and picture recording), medical images, Internet of Vehicles (IoV), and enterprise resource sharing.
      • solution 04

        Virtual/Cloud Resource Pool

        When transitioning from physical to virtual and cloud architecture, distributed storage is essential.
        The OceanStor Pacific Series provides distributed storage resource pools with flexibility on-demand for virtual and cloud environments, significantly improving resource deployment, expansion, and Operations and Maintenance (O&M) efficiency.

        Typical uses: Channel access clouds for Internet finance, agile development and testing, carrier cloud services in Business Operation Management (BOM) domains, B2B loud resource pools, e-government clouds, and industry clouds.
      • solution 05

        Intelligent Video Storage

        Intelligent video storage is vital to Smart City projects, with widespread application in resource waste awareness and vehicle recognition. This can generate dozens of PBs of video and image data for a medium-sized city.
        The OceanStor Pacific Series connects to mainstream video storage platforms and provides enterprise-grade file storage with broad compatibility. It also uses high-density hardware and software with performance optimization to provide diversified video and image storage capabilities.

        Typical uses: Smart City projects and smart rail transportation.

      Case Studies