Likelihood to Recommend If your organization has a lot of archival data that it needs to be backed up for safekeeping, where it won't be touched except in a dire emergency, Amazon Glacier is perfect. In our case, we had a client that generates many TB of video and photo data at annual events and wanted to retain ALL of it, pre- and post- edit for potential use in a future museum. Using the Snowball device, we were able to move hundreds of TB of existing media data that was previously housed on multiple Thunderbolt drives, external RAIDs, etc, in an organized manner, to Amazon Glacier. Then, we were able to setup
CloudBerry Backup on their production computers to continually backup any new media that they generated during their annual events.
Read full review 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
Read full review Pros Cheap storage of backup data. Can be used as a part of the entire suite of tools from Amazon, without requiring you to leave the familiar stack. Read full review 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. Read full review Cons Accessing data stored in Glacier is slow. That shouldn't be a surprise, but it is undesirable nonetheless. Retrieving a large amount of data can be expensive; Glacier's intended use is as an archive of rarely-accessed data. Some users regard Glacier with fear and uncertainty. Slow retrieval time and high retrieval cost are the greatest risks of using Glacier, and they are also the Glacier interaction that most users have the least experience with. Read full review 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 Read full review Usability It is difficult to delete the data as you have to wait for inventory and then bucket modification has to expire.
Read full review Alternatives Considered Since the rest of our infrastructure is in Amazon AWS, coding for sending data to Glacier just makes sense. The others are great as well, for their specific needs and uses, but having *another* third-party software to manage, be billed for, and learn/utilize can be costly in money and time.
Read full review 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.
Read full review Return on Investment Helped us meet compliance requirements while minimizing costs. Simple integration with almost no changes required to our existing S3 management policies. Read full review 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. Read full review ScreenShots