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DataCore Swarm vs Scality RING comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Nov 4, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Everpure FlashArray
Sponsored
Average Rating
9.0
Reviews Sentiment
7.2
Number of Reviews
231
Ranking in other categories
All-Flash Storage (3rd)
DataCore Swarm
Average Rating
10.0
Reviews Sentiment
8.1
Number of Reviews
5
Ranking in other categories
File and Object Storage (17th)
Scality RING
Average Rating
8.2
Reviews Sentiment
6.4
Number of Reviews
15
Ranking in other categories
Software Defined Storage (SDS) (8th), File and Object Storage (5th)
 

Featured Reviews

Sowjanya MV - PeerSpot reviewer
Technical Lead at Wipro Limited
Has improved performance for mission-critical workloads and enabled seamless non-disruptive upgrades
The availability is 99.99%, which is the main factor any customer would need because their data should be available whenever they want to access it. This is one main critical thing. It is very easy to upgrade since Pure Storage FlashArray handles it well. Everything is non-disruptive now; previously, there were forklift shifts, but now that is not the case. Pure Storage FlashArray says no to forklift upgrades. Usually hardware requires downtime, but Pure Storage FlashArray has improved their footprint so that they are not asking for downtime; everything is just a non-disruptive activity, which is why customers are more inclined towards Pure Storage FlashArray. Customers want more of the models in their environment due to the performance they are giving, and everything is in one Pure1 Array console where we can view all the models on one page or just an orchestration tool. You don't miss anything; you have replication, notifications about replication, and details about which host groups replication is happening in and if that replication is successful or failed. On a daily basis, our purpose is to create volumes for infrastructure; our daily activities include creating volumes and mapping them to the host, doing any migrations from a VM, clearing the data stores, and carving the volumes to those VMs. One key factor is the data compression with a ratio of 5:1, focusing on space efficiency, inline deduplication, and the compression Pure Storage FlashArray works on; that is a major factor we can suggest to any customer. Analytical capabilities are crucial. Daily, we check the throughput and consumption, and Pure Storage FlashArray provides predictions for one year regarding usage. This prediction helps plan updates well ahead. For support, we just raise a case, and they follow up and get it done. There is also AI readiness, but with the model R2, we don't have much of that AI readiness. For others, we do have AI readiness that predicts capacity based on daily or monthly trends, enabling us to analyze how much space we need or if we need to expand the disk shelf. From an operational point of view, a good feature is that if you accidentally delete a volume, it will be retained in the destroyed state for the next twenty-four hours, which is not the same with any other vendor. I have worked in this storage domain for the past fifteen years, and this option is remarkable, benefiting any L1 or L2 engineer. Additionally, from a compliance perspective, Pure Storage FlashArray has REST APIs enabled. I have not explored automation much, but from a security standpoint, it is strong with encryption data. If you want to automate, you can easily integrate with all clouds and explore Pure Cloud for scheduling workloads, including volume creation. Customers find benefit in Pure Storage FlashArray's single management pane of glass due to the dual controller and active-active setup. If one of the controllers goes down, all workloads automatically shift to the other controller, ensuring their data is safe and accessible at all times. This is a highlighted feature that any customer desires because their data should always be accessible. For SAN workloads, we use Pure Storage FlashArray because for SAN FC fiber channel, we don't use it; we use NetApp for NAS activities. We have clearly split this, so SAN is for mission-critical applications, while network-attached storage handles file systems. This architecture helps us maximize the benefit from Pure Storage FlashArray due to the significant workloads from this giant retail client. From a footprint and energy consumption perspective, you can see energy consumption from the Pure1 storage portal on a daily basis, and it is very compact. The three models we use consume only three units, which is quite low. From a footprint and data center perspective, it doesn't occupy much space. As everything moves to cloud, there are requirements to avoid excess spending on data centers, and Pure Storage FlashArray is efficient in energy consumption and is environmentally friendly.
N Bravi - PeerSpot reviewer
Sales Manager at MSDSYSTEMS S.R.L.
Has simplified data protection across two locations and reduced time spent on recovery efforts
The best features DataCore Swarm offers are its scalability and the ability to truly solve many problems related to data loss and recovery. It is important because if we want to add a new code, it sets itself up from scratch, and if we want to add, for example, a 72 terabytes or petabytes node, we just drop it in, which is very easy. DataCore Swarm has positively impacted my organization through the support for my dedicated salespersons.
Nourreddine AISSAOUI - PeerSpot reviewer
Dev Ops Engineer at Transactis France
Object storage has transformed backup capacity management and supports modern AI-ready workloads
The separation of metadata from object data significantly influences storage performance, as metadata uses NVMe flash storage, serving as an accelerator for accessing data. While data resides on traditional spinning hard disk drives, using NVMe storage for metadata allows for fast access to data, especially for large volumes and a large number of objects. The performance regarding metadata is particularly vital when managing a high number of objects; thus, dedicating servers and fast storage to metadata improves handling those large object counts, which we optimized during our operations, resulting in satisfactory outcomes. The improvement with Scality RING is the ability to manage huge volumes and the easy scalability when dealing with capacity growth and management. We can buy servers, install them, and hot upgrade the capacity without requiring downtime. Everything is available through an API, allowing end users to manage their storage conveniently without needing requests or tickets; they can allocate, delete, and move storage as required, making operations easier for the end user.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It releases those to new teams within minutes at a very small storage cost amount."
"The most valuable features of Pure Storage FlashArray are management and administration user-friendliness, provisioning, and performance."
"It's easy to use, and the maintenance upgrades to get free controllers work really well."
"I would definitely suggest this solution to a colleague because of the ease of use."
"It saved a lot of space, as far as physical space in our data center."
"We've been using FlashArray's snapshot for backups. Their replication across sites and response time are also excellent."
"Having fast storage allows actual servers to perform in high capacity so we don't have slowdowns on our applications."
"Pure Storage is extremely reliable — it's never failed."
"The best features DataCore Swarm offers are its scalability and the ability to truly solve many problems related to data loss and recovery."
"DataCore Swarm is highly available."
"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."
"With DataCore Swarm, we have transitioned from tape-based backups, which were long, to Swarm, making the process more rapid and efficient."
"I find its flexibility valuable, it's also user-friendly, and I'm happy with the dashboards and the customization."
"The ability for the solution to use any new hardware quickly and without administration is a great thing in the context of hosting."
"The improvement with Scality RING is the ability to manage huge volumes and the easy scalability when dealing with capacity growth and management."
"I think it's the economic factor. This solution has the lowest cost for storage systems."
"Scality RING's capacity and performance scaling across sites and clouds have positively affected our operational efficiency."
"Scality RING is more stable and performs better than before; we don't experience issues from mechanical failures, only from human intervention."
"The most valuable feature of Scality RING8 is its performance and good interface."
"S3 and CDMI, restful API for object access, are useful for deploying standard S3 or CDMI-based applications such as cloud backup, email."
"Another feature I like is the life cycle management that helps me with data storage efficiency."
"We have virtually zero data loss thanks to this resilience."
 

Cons

"I would like to see support for NVMe, end-to-end."
"In the next release of this solution, we would like to see automated copy data management for SQL Server."
"The solution is not cheap."
"Organizations with security concerns that prevent cloud utilization would benefit from a wider range of instruments available for offline operation. Currently, the limited selection of on-premise instruments hinders Pure Storage FlashArray's ability to compete effectively with other vendors."
"The initial setup of the product is complex."
"The product could improve by providing the capability to support NAS storage – CIFS and NFS."
"In Pure Storage FlashArray, the area with room for improvement is local MFA login."
"It was not proactive communication."
"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."
"The solution needs simpler architecture."
"The main issue currently is the hard installation process."
"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."
"I typically have at least three different views with three user interfaces open when I work on something. I find it quite complicated at times."
"What we are currently missing and will be demanding in the new tender is an additional external backup of all data, ideally on a simple system, to safeguard against any severe local incidents so that we still have the data protected elsewhere."
"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."
"They should prioritize quality over timeliness to minimize customer disruptions and not force customers into a cycle of fixes that interfere with daily work."
"We do see some areas where we have much higher operations or much higher queries, Scality sometimes chokes up."
"Adding a storage node is simple but rebalancing takes a long time (several weeks)."
"While Scality claims to be 100% compatible with Amazon S3, it seems this isn't entirely true; there are instances where specific backup tools require S3 to create checksums over written backups, which Scality does not support, unlike Amazon S3."
 

Pricing and Cost Advice

"We have 16 or 18 arrays. We like to do the three-year support model so that we get Evergreen and therefore, we get free upgrades. We pay around more than 1.5 million dollars."
"Once you purchase Pure Storage FlashArray it is all-inclusive, you receive all the licenses needed."
"It is cheaper than NetApp."
"For pricing, you have to take into account their performance on deduplication and compression in a $/GB comparison."
"It is light years beyond anything else with the same price point."
"The pricing of Pure Storage FlashArray is reasonable."
"For us, as the customer, it reduced the price of the management."
"My organization has a yearly license, but I believe that Pure Storage FlashArray has capacity-based licenses as well. I'm definitely happy with the pricing."
"You pay for what you use. For example, if you use one terabyte, you just pay for that one terabyte. But the pricing could always be better"
"The first installation brick is expensive but the upgrades are extremely simple and granular by adding disks or nodes."
"The initial cost (CAPEX) to set up the infrastructure is expensive due to the specific hardware required."
"The cost of Scality RING8 could be less expensive. It is difficult for smaller businesses to afford it."
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Top Industries

By visitors reading reviews
Manufacturing Company
13%
Financial Services Firm
11%
Construction Company
10%
Comms Service Provider
7%
Computer Software Company
19%
Comms Service Provider
16%
Manufacturing Company
10%
Construction Company
5%
Manufacturing Company
10%
Construction Company
10%
Government
9%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business71
Midsize Enterprise38
Large Enterprise159
No data available
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise12
 

Questions from the Community

Which should I choose: HPE 3PAR StoreServ or Hitachi Virtual Storage Platform F Series?
Both are great platforms, but if you are considering all flash solutions, I would recommend you to consider Pure Stor...
What is your experience regarding pricing and costs for Pure Storage FlashArray?
I find the pricing of Everpure FlashArray to be quite high compared to other storage solutions; however, the reliabil...
What needs improvement with Pure Storage FlashArray?
I believe we have covered the most important features; the architecture of Pure Storage is essential, and features su...
What is your experience regarding pricing and costs for DataCore Swarm?
My experience with pricing, setup cost, and licensing was that in many cases, it was expensive, but my salesperson ga...
What needs improvement with DataCore Swarm?
I believe DataCore Swarm cannot be improved in any way because for me, it is perfect.
What is your primary use case for DataCore Swarm?
My main use case for DataCore Swarm is in a big company in Italy that has two problems: it has very big data to manag...
What needs improvement with Scality RING8?
Scality RING has room for improvement, particularly in having a supervisor external to Scality RING, which is key for...
What is your primary use case for Scality RING8?
Scality RING is used exclusively for S3 object storage. Scality RING is an alternative to Amazon S3, allowing custome...
What advice do you have for others considering Scality RING8?
I assess the simplicity of managing large volumes of data with Scality RING's interface as feasible, but it requires ...
 

Also Known As

Pure Storage FlashArray
Caringo Swarm
Scality RING, RING8
 

Overview

 

Sample Customers

Nielsen, Lamar Advertising, LinkedIn, Betfair, UT-Dallas
iQ Media, NEP, Texas Tech University, Telefónica, City of Austin, Massive Media, Data Deposit Box, Premier Physician Services, Truliant Federal Credit Union
Comcast, TimeWarner Cable, EuroSport, Orange, Deluxe, DailtMotion, SFR, RTL, Los Alamos National Laboratory, Telstra
Find out what your peers are saying about DataCore Swarm vs. Scality RING and other solutions. Updated: June 2026.
909,099 professionals have used our research since 2012.