


DataCore SANsymphony and Scality RING are contending products in the software-defined storage category. DataCore SANsymphony seems to have the upper hand due to its cost-effectiveness and robust support, despite Scality RING's advanced features.
Features: DataCore SANsymphony offers high availability, data protection, and efficient caching with parallel I/O processing. Scality RING provides object storage capabilities, scalability, and seamless multi-cloud integration for flexible storage solutions.
Room for Improvement: DataCore could enhance its scalability and support for large environments while refining its multi-cloud capabilities. Scality RING may need to streamline its deployment process and improve its cost-effectiveness for smaller businesses due to higher upfront expenses. Both products can benefit from optimizing integration simplicity.
Ease of Deployment and Customer Service: DataCore SANsymphony is known for easy installation and comprehensive customer support, providing minimal system disruption. Scality RING, despite its complex deployment due to scalability features, offers extensive training and technical guidance resources.
Pricing and ROI: DataCore SANsymphony is competitively priced, offering significant ROI by leveraging existing resources for storage scaling without major capital investment. Scality RING incurs higher initial costs but promises substantial ROI through enhanced performance in data-intensive settings, balancing immediate budget constraints with long-term scalability benefits.
In the long term, spanning three to five years, the total cost of ownership becomes cheaper, considering power consumption, data center footprint, and NVMe technology usage.
Our current workload, particularly the SQL use case, would not be possible on mechanical storage, and the ease of use for the small team for the array is important for supporting that workload.
Pure Storage FlashArray integrates with APIs and other systems.
I think RING's ability to maintain predictable costs while providing scalable storage solutions impacts our budget by allowing us to pay only for capacity.
For instance, while the cost per gig on a block storage platform may be $2, it's $1.50 for NAS, and only $0.50 for object storage, leading to a remarkable 75% reduction in costs by utilizing the Scality platform.
Scality RING has reduced our operating costs.
Pure's support organization is responsive with minimal bureaucracy, making support a key factor in customer retention.
I would rate the technical support an 11 out of 10.
The support from Pure Storage is excellent.
They always help me quickly and with great knowledge, which is essential for central storage.
I rate their technical support a 10.
I would rate technical support from DataCore SANsymphony a 10.
I've always received responses within the required timeframe, the answers were technically relevant, and there was follow-up—people called us back to check if everything was okay and if the ticket could be closed.
Individuals such as Peter Mikolastik really make a difference by saying, 'Come on, what is the problem? I will help you,' rather than just brushing things off.
Technically, when we have major issues in P1, they are very responsive and we can't say that we don't get a response.
A big banking client had around 300 petabytes of data on Pure Storage.
Our customers can scale up or scale out, raise the performance, and expand the storage spaces by investing every year.
The solution is highly scalable, particularly when there is a need to expand capacity.
There are no limits to scalability, which is essential for central storage.
Upwards, I think, almost unlimited by what we can imagine.
I've never had issues with scalability.
We are relatively well informed about their new features, what will be implemented in future versions, and the scalability of the solution.
For stability, I rate it a ten out of ten.
We have continuous 99.9% uptime and do not experience any users reporting performance issues due to latency.
The vision Pure Storage FlashArray offers through the GUI is clearer; we can discern the status, what is cabled, and how direct flash is enabled.
The implementation process is easy for DataCore SANsymphony.
It is a platform that is very stable at the customer level and does not generate incidents or blockages that you might encounter with standard storage solutions, where you can lose data.
I find that Scality RING is very stable because it allows for many maintenance operations without service loss.
There are factors that can cause Scality RING to become occasionally unavailable, but due to the system's resilience, it is capable of recovering or degrading gracefully.
Integrating object storage into the FlashArray would benefit entry-level and SMB customers by offering a more unified solution.
Storing cold data on expensive arrays doesn't make financial sense, and tiering to any of the big three cloud providers would be advantageous.
As a technical professional, I lack visibility into the system logs.
I would like to see the stabilization of the Veeam implementation in the future, and perhaps the integration or officialization of compatibility with Proxmox and XCP-ng.
there should be improvements in how to get and filter logs
The area of DataCore SANsymphony that has room for improvement is the support.
Encryption and data security need improvement. We don't have a solution for customers who need confidentiality.
They should prioritize quality over timeliness to minimize customer disruptions and not force customers into a cycle of fixes that interfere with daily work.
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.
They're expensive.
While they say it's free, we actually pay for support upfront.
Some smaller organizations may find it slightly expensive, but for enterprises, when considering performance, future hardware investments, and overall benefits, it is a very cost-effective solution for mid and enterprise organizations.
It's not that expensive, and the product is also pretty stable.
They have made some improvements regarding the pricing, but it's still too expensive.
The cost changed from a perpetual license to a subscription model.
Fortunately, in terms of the license, we are able to expand the disks without having to adjust the license.
In the end, it always depends on how much you pay for it.
Regarding setup costs and licensing, our initial experience is somewhat dated now as we made a comprehensive purchase, including hardware, software, and system setup, which Scality handled at the time.
FlashArray's integration with the Pure One instrument provides a centralized platform for efficient management of all arrays.
Another noteworthy aspect is their platform, Pure One, a cloud-based analytics platform that automatically creates a case and sends out a part if a disk or controller fails.
It handles internal data migration seamlessly in the background without going offline, achieving a hundred percent uptime.
Customers can extend storage with flexibility, as one is not obligated to purchase hard disks or controllers from the same storage vendor.
DataCore SANsymphony is improving the access speed of data, the reading, and the writing significantly.
DataCore SANsymphony's ability to enhance storage utilization is very good because it's agnostic and it can be deployed on every environment, which is perfect for my clients.
When a server is lost, the data is still accessible.
It is even better stored when there is only one copy on a system and there is a second copy on an immutability system, which is almost equivalent to backing it up on tape and taking it offline, making it completely inaccessible.
Scality RING has influenced our approach to scaling in different dimensions by providing a cost-effective solution for the tremendous amount of data we generate every day for each customer.



| Company Size | Count |
|---|---|
| Small Business | 65 |
| Midsize Enterprise | 36 |
| Large Enterprise | 151 |
| Company Size | Count |
|---|---|
| Small Business | 36 |
| Midsize Enterprise | 12 |
| Large Enterprise | 22 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 12 |
Everpure Storage FlashArray delivers simplicity, speed, and performance with ease of management and data reduction capabilities. Its resilience and seamless upgrades complement its integration with VMware, while predictive analytics and proactive support enhance reliability.
Everpure Storage FlashArray leverages a flash-based architecture for improved storage efficiency, reduced footprint, and outstanding data management through deduplication and compression. Users appreciate its single pane of glass management and Evergreen model. It supports VMware environments effectively, offering predictive analytics for better operational insights. The system is noted for its user-friendly management and proactive support, ensuring minimal downtime while delivering resilient storage solutions.
What Key Features Does Everpure Storage FlashArray Offer?
What Benefits Should Users Consider?
In industries like finance, banking, and healthcare, Everpure Storage FlashArray supports high-performance storage needs focusing on virtualization and database environments. Employed for VMware workloads, disaster recovery, and storage provisioning, it ensures application performance in private or hybrid cloud setups while enhancing management of virtualized environments.
DataCore SANsymphony enhances storage environments with features like synchronous mirroring, scalability, and flexibility. It optimizes performance through parallel I/O, ensuring high availability, efficiency, and protection against data loss with hardware independence and user-friendly management.
DataCore SANsymphony offers a robust platform for managing storage in VMware environments and beyond, enabling high-performance storage with disaster recovery features and synchronous mirroring. With hardware independence and real-time data replication, SANsymphony supports virtualization and data protection across distributed data centers, ensuring seamless data access. Users benefit from its ease of use, storage pooling, and auto-tiering, managing different storage speeds efficiently and maximizing uptime. DataCore's hardware-independent active-active setup and management tools add value, though improvements in container support, web capabilities, API robustness, and Linux support are needed. Pricing, licensing, tech support, backup integration with Veeam, iSCSI connectivity, and performance reporting are areas for enhancement.
What are the key features of DataCore SANsymphony?DataCore SANsymphony finds application in industries focusing on high-performance storage requirements, particularly those in VMware environments. Utilized for managing storage across virtual machines and applications, it supports seamless data access within distributed data centers. The platform's real-time data replication, synchronous and asynchronous mirroring, and auto-tiering contribute significantly to optimizing performance and maintaining business continuity.
Scality RING is the scalable and resilient object storage solution designed for modern workloads, providing seamless data protection against evolving cyber threats.
Scality RING leverages S3 object storage to meet unpredictable demands with a patented MultiScale Architecture that offers limitless scalability across capacity, performance, and more. It delivers end-to-end cyber resilience with CORE5 for ransomware protection, while its cloud-style economics and intuitive management empower enterprises to accelerate AI initiatives and optimize cloud deployments. Its flexibility is ideal for service providers managing extensive data needs.
What are the key features of Scality RING?Scality RING is extensively implemented in backup solutions across industries, supporting platforms like Veeam and CommVault. It aids in storage expansion and management of large data volumes alongside multi-site architectures. While not leading in AI spaces due to performance constraints, there's potential with faster disk support. It's also used in archives, binary lakes, multimedia services, and AI data lakes.
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