Item: Red Hat Ceph Storage
Rating: 8
Author: Verified User

Use Cases and Deployment Scope

We use Red Hat Ceph Storage to store large binary objects of unstructured data. We ended up in a situation where storing large objects in a relational database wasn’t cost effective to scale and due to this we changed so structured data is stored in a relational database while binary objects such as photos, videos and documents are stored in Red Hat Ceph Storage.

Pros and Cons

Cost effective storage
Partitioning data in separate buckets
Ability to store large individual objects

Authorization on object level could be improved
Helper libraries to access Red Hat Ceph Storage from various languages could be improved
Ability to attach structured metadata to stored objects could be improved

Most Important Features

Scalable storage solution
Clustering support
Support for authorization on bucket level

Return on Investment

Cost effective scalable storage
Ability to store large individual objects
Simplified management thanks to ability to use separate buckets instead of separate database servers for each application

Alternatives Considered

MongoDB

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.

Key Insights

Do you think Red Hat Ceph Storage delivers good value for the price?

Yes

Are you happy with Red Hat Ceph Storage's feature set?

Yes

Did Red Hat Ceph Storage live up to sales and marketing promises?

Yes

Did implementation of Red Hat Ceph Storage go as expected?

Yes

Would you buy Red Hat Ceph Storage again?

Yes

Other Software Used

Red Hat Enterprise Linux (RHEL), Elasticsearch, Kibana

Likelihood to Recommend

Red Hat Ceph Storage is a good solution if you have a need to store large amount of unstructured data and have a need to protect it with authorization. If you have a need to search for specific data in Red Hat Ceph Storage you often need to combine it with a relational database or search index like Elastic search. It’s hard to justify Red Hat Ceph Storage usage if you only need to handle limited amount of data.

Cost effective object storage

Overall Satisfaction with Red Hat Ceph Storage