We performed a comparison between DataCore Swarm and Scality RING based on real PeerSpot user reviews.
Find out in this report how the two File and Object Storage solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I find its flexibility valuable."
"The first feature is compatibility with the S3 protocol. DataCore SWARM allows you to quickly have an on-premise, robust and scalable environment that is natively compatible with the S3 protocol. The functionalities used are therefore derived from the S3 protocol, notably versioning and therefore the possibility of configuring immutability in governance or compliance mode. The object metada can be enriched with the addition of tags to subsequently enable filtering and searching. Configuring and using DataCore SWARM is simple and flexible. It is very easy to create domains, tenants and buckets for different use cases with various authentications. The cluster architecture also allows replication between different clusters at different configured levels (Cluster / Domains / ...) A web interface for browsing the content of existing buckets allows simple and rapid manipulation of certain objects such as sharing via a link or cropping a video. Finally, the physical architecture of the solution is based on an x86 server and its scale-up or scale-out evolution is very simple by adding disks or servers."
"The ability for the solution to use any new hardware quickly and without administration is a great thing in the context of hosting."
"The most valuable feature of Scality RING8 is its performance and good interface."
"I think it's the economic factor. This solution has the lowest cost for storage systems."
"Another feature I like is the life cycle management that helps me with data storage efficiency."
"The solution needs simpler architecture."
"The product currently requires a significant number of servers to start. There are also network prerequisites to be met in order to guarantee good security of the architecture, which means that the product is only available to large customers. Besides, the license starts at 100TB. An Appliance version is being developed with an architecture based on containers which will make it possible to offer DataCore SWARM to everyone. The product has been evolving since the acquisition by DataCore, but maintaining and updating the product is not always easy and needs to be improved. For now, we only use DataCore SWARM for a few use cases and therefore a small part of the existing functionalities. With use we will perhaps have more criticism of the product but not for the moment!"
"The pricing can definitely be better."
"When we used this solution in 2015, it was not scalable at all. I don't know if they have improved on that, but at the time, scalability was just horrible."
"Scality RING8 could improve by having more features. We have to use two automation tools to meet our needs. We would prefer to use only one."
"Scality RING is not easy to learn for someone new. It is a little bit difficult. There are a lot of components to it, and you also need to understand them to work with it effectively."
DataCore Swarm is ranked 14th in File and Object Storage with 3 reviews while Scality RING is ranked 13th in File and Object Storage with 4 reviews. DataCore Swarm is rated 9.6, while Scality RING is rated 7.8. The top reviewer of DataCore Swarm writes "An On-premises object storage platform that provides data protection". On the other hand, the top reviewer of Scality RING writes "Offers UTIPI (Unified Tiered Infrastructure Per IOPS) feature in billing but lacks extensive testing ". DataCore Swarm is most compared with MinIO, whereas Scality RING is most compared with Dell ECS, MinIO, Red Hat Ceph Storage, Qumulo and Cloudian HyperStore. See our DataCore Swarm vs. Scality RING report.
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We monitor all File and Object Storage reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
