Storage Switzerland recently wrote a product analysis of our HyperStore solution, and the verdict is very positive. Read on to understand why Cloudian is “an ideal storage target for backups and archives” and “a system that organizations should seriously consider for all their storage needs.”
Effective Backup and Archive
In a data protection application, Cloudian acts as a backup target. To excel in this role, the system of course needs to be scalable, fast, and cost effective. But most importantly, it must ensure that data is never, ever corrupted or lost. Fortunately, data durability was the #1 design goal of Cloudian HyperStore. Our HyperStore object storage solution offers robust data protection features that can protect your data from incidents of all kinds, including drive failure, node failure, even the failure of an entire data center, if that’s the level you require.
Features that support our 14-nines data durability include:
- Erasure coding
- Data replication across nodes or across sites
- Hybrid cloud integration, that enables replication to the public cloud
- Proactive repair
- Data GPS, which helps you locate objects
- Repair-on-Read, which automatically checks replicas for missing or out-of-date copies and then replaces or updates them
- Smart Redirect, which creates a local cache replication as well as an Amazon S3 copy
Beyond backup applications, Cloudian HyperStore can play multiple other roles within your data center.
Multiple Applications, One Storage Pool
Other Cloudian use cases include:
- NAS file server offload
- Media archive management
- File sync and share storage
Because Cloudian is a scale-out cluster, all of these can co-exist in a single, limitlessly scalable namespace.
We offer both a software solution and multiple hardware appliances which let you start with a small deployment (a few dozen TBs) and then scale up to multiple PBs and beyond.
AI and Machine Learning: The Future of Object Storage
Soon you will be seeing object storage widely used in the next big storage driver: data pools that support AI and Machine Learning. Object is ideal for this due to its scalability and integrated metadata support.