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IBM Elastic Storage Server vs. IBM Storage Ceph

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Elastic Storage Server

    Score8.3 out of 10
    N/AIBM Elastic Storage Server (IBM ESS) is a software-defined storage option.N/A

    IBM Storage Ceph

    Score8 out of 10
    N/AIBM® Storage Ceph® is a software-defined storage platform that consolidates block, file and object storage to help organizations eliminate data silos and deliver a cloud-like experience while retaining the cost benefits and data sovereignty advantages of on-premises IT.N/A
    Pricing
    IBM Elastic Storage ServerIBM Storage Ceph
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM Elastic Storage ServerIBM Storage Ceph
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Best Alternatives
    IBM Elastic Storage ServerIBM Storage Ceph
    Small Businesses
    StarWind Virtual SAN
    Score9.5 out of 10
    StarWind Virtual SAN
    Score9.5 out of 10
    Medium-sized Companies
    StarWind Virtual SAN
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    StarWind Virtual SAN
    Score9.5 out of 10
    Enterprises
    IBM Storage Scale
    Score9.9 out of 10
    IBM Storage Scale
    Score9.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM Elastic Storage ServerIBM Storage Ceph
    Likelihood to Recommend
    8.3
    (3 ratings)
    8.7
    (6 ratings)
    User Testimonials
    IBM Elastic Storage ServerIBM Storage Ceph
    Likelihood to Recommend
    IBM
    Reliable data storage and access is a big challenge in AI applications and IBM ESS is a service you need to solve the problem. If you are building an AI service and you already use the IBM ecosystem for AI compute requirements, ESS can serve as an excellent software based storage solution. Integration with other platforms such as EMR/Databricks is still a challenge and should be improved.
    Incentivized
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    IBM
    Large scale data storage: Red Hat Ceph Storage is designed to be highly scalable and can handle large amounts of data. It's well suited for organizations that need to store and manage large amounts of data, such as backups, images, videos, and other types of multimedia content.Cloud-based deployments: Red Hat Ceph Storage can provide object storage services for cloud-based applications such as SaaS and PaaS offerings. It is well suited for organizations that are looking to build their own cloud storage infrastructure or to use it as a storage backend for their cloud-based applications.High-performance computing: Red Hat Ceph Storage can be used to provide storage for high-performance computing (HPC) applications, such as scientific simulations and other types of compute-intensive workloads. It's well suited for organizations that need to store
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    Pros
    IBM
    • Powerful processing power, literally support unlimited scale out storage capabilities
    • well integrated and supported with multi flavor environment and file systems.
    • Huge capacity with in a very reduced form factor of disks/enclosures
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    IBM
    • Highly resilient, almost every time we attempted to destroy the cluster it was able to recover from a failure. It struggled to when the nodes where down to about 30%(3 replicas on 10 nodes)
    • The cache tiering feature of Ceph is especially nice. We attached solid state disks and assigned them as the cache tier. Our sio benchmarks beat the our Netapp when we benchmarked it years ago (no traffic, clean disks) by a very wide margin.
    • Ceph effectively allows the admin to control the entire stack from top to bottom instead of being tied to any one storage vendor. The cluster can be decentralized and replicated across data centers if necessary although we didn't try that feature ourselves, it gave us some ideas for a disaster recovery solution. We really liked the idea that since we control the hardware and the software, we have infinite upgradability with off the shelf parts which is exactly what it was built for.
    Incentivized
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    Cons
    IBM
    • Integration and configuration need a bit more technical expertise which is I guess expected.
    • There can be some improvement in integration with Legacy applications.
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    IBM
    • GUI based mainetenence should be developed
    • Unable to detect storage latencies
    • VM to disk mapping should be visible so as to save some critical applications data in case of HDD failures
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    Alternatives Considered
    IBM
    IBM ESS is optimized for AI and Big Data usecases while S3 is a general purpose storage solutions. EMR and Databricks have lakehouse/data warehousing solutions for distributed computing but are more optimized for just the big data pipelining solutions and not essentially for AI usecases, especially for inference, when you need to load model artifacts really quickly.
    Incentivized
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    IBM
    MongoDB offers better search ability compared to Red Hat Ceph Storage but it’s more optimized for large number of object while Red Hat Ceph Storage is preferred if you need to store binary data or large individual objects. To get acceptable search functionality you really need to compile Red Hat Ceph Storage with another database where the search metadata related to Red Hat Ceph Storage objects are stored.
    Incentivized
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    Return on Investment
    IBM
    • When the cost and price dynamics comes into account, we have replaced age old traditional arrays with almost negligible cost with ESS
    • able to extend the capabilities of global teams to work and share their experiences and knowledge with other teams.
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    IBM
    • Ceph allows my customer to scale out very fast.
    • Ceph allows distributing storage objects through multiple server rooms.
    • Ceph is fault-taulerant, meaning the customer can lose a server room and would still be able to access the storage.
    Incentivized
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