IBM Storage Ceph vs. IBM Storage Fusion

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

Incentivized

I think its well suited for all modern programming. simple and ease of use are a plus.

Incentivized

• 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

• Connecting with multiple application DB of different data types and bringing the normalized data to on a roof/data lake
• Easy to build the models and analytics that's help better understanding of business operation
• AI models such as predictions, forecasts, and suggestions based on individual customer patterns or geo-clusters can build easily

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• 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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• Improvement in areas where Software Defined Storage (SDS) can be better utilized with the broad capabilities of IBM storage features.
• Focus should be shifted towards enabling capabilities of cyber resiliency as the other offerings in the market are already equipped with the same.
• Broader non-IBM/Lenovo hardware support can be considered, specifically for IBM Storage fusion software offerings

Incentivized

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

Incentivized

• 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

• IBM Fusion is ideal for Enterprise businesses or Ecosystems where large data types are in play. And added benefit to bringing them under a platform to add visualization and understanding.
• Managing and monitoring is easy when compare to other industry tool

Incentivized