


Dell ObjectScale and HPE GreenLake for File Storage compete in the enterprise storage solutions category. HPE GreenLake appears to have the upper hand due to its flexible pricing model and superior ease of management for data-intensive workloads.
Features: Dell ObjectScale offers integration with existing Dell EMC products, strong support for unstructured data, and reliability in disaster recovery scenarios. It provides scalability and cost-effectiveness with a notable S3 protocol implementation. HPE GreenLake for File Storage excels with ease of use, independent scaling of performance and capacity, and support for data-intensive workloads such as AI. Its pay-per-consumption model offers significant flexibility for enterprise workloads on-premises.
Room for Improvement: Dell ObjectScale could enhance integration with third-party solutions, improve write performance, and offer better security features. Users also report incomplete documentation and desire simpler setup processes. HPE GreenLake for File Storage can enhance integration with other technologies and streamline the connection process to Aruba Central. Improvements in AI capabilities and a unified management console for Infosight analytics would benefit users.
Ease of Deployment and Customer Service: Dell ObjectScale is deployed mainly on-premises, with varying support quality across different regions. HPE GreenLake for File Storage offers flexibility in deployment across on-premises and hybrid cloud environments, with generally quick and helpful customer support, though occasional setup challenges are reported.
Pricing and ROI: Dell ObjectScale is considered expensive, with suggestions for more flexible pricing plans. It offers ROI through data compression and long-term cost-effectiveness despite high costs. HPE GreenLake for File Storage is noted for its competitive pricing, transparency, and cost savings, appealing to large enterprises with its predictable expense model.
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 have seen both time savings and cost savings, so there is definitely a return on investment with Dell ECS, along with peace of mind.
Since they operate 24 by seven, the necessary tasks are completed continuously, which is quicker than if my team handled them only between nine to five.
We had HPE hardware on Hyper-V previously, and HPE GreenLake gave us dHCI with VMware and a lot more stability.
I have seen a return on investment with HPE GreenLake for File Storage.
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.
There is a lack of SUSE Linux experts which affects the level of support.
The response time and quality of the technical support are satisfactory.
Customer support is generally good but sometimes struggles with complex issues.
The reason for this rating is that there is no downtime.
On a scale from one being the worst and ten being the best, I rate my customer service and technical support for the HPE GreenLake for File Storage as a ten.
The support with GreenLake is good because we always have an engineer who helps the customer.
A big banking client had around 300 petabytes of data on Pure Storage.
The solution is highly scalable, particularly when there is a need to expand capacity.
Theoretically, we can do controller upgrades and get into a larger chassis, but there was a limit to how far we could go without needing to do a full migration.
Through the fabrics, it provides the clustering, allowing us to add nodes easily.
It allows scale-out processes by adding extra nodes, providing flexibility for customers to increase capacity on demand.
I would rate scalability between eight or nine, as it provides a good ability to scale and expand storage.
It's suitable for startup growth as well as large enterprises, and the modular, disaggregated nature provides the flexibility needed for efficient application scaling.
Currently, we don't use any sort of scaling ability, but being able to buy what you need when you need it and only having to pay as you grow is a game changer for our operational costs; it's a money saver.
You can connect around 2 million storage servers to the same architecture, so scaling is not a problem.
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.
We have not experienced any outages in the last four years.
We use it in very critical areas inside Saudi Arabia with critical customers.
I'd rate stability maybe 9.5 out of ten.
The file system is very stable and it rarely goes down.
Having had zero catastrophic outages.
Since we've been on HPE GreenLake for File Storage, I have not experienced any downtime, crashes, or performance issues.
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.
Live logs should be viewable through the GUI like with Logstash or Elasticsearch.
The deployment is not easy, and some expertise is required to configure the virtual data center and replication groups.
Incorporating extra integrations beyond S3, like Hadoop file systems, and being well aligned with trends like AI solutions would be beneficial.
HP has already deployed AI in GreenLake's cloud features, but they should also integrate them into the flash array.
It provides a fast head start, but when dealing with complex situations, it doesn't lead you effectively.
If they could provide me with a troubleshooting document for the issue I was experiencing with connecting to Aruba Central, that would be great.
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 relies on nearline SAS drives, which are cheaper than flash or SSDs.
The pricing model is on the higher side compared to other vendors.
The price is reasonable given the abundance of features, including managing, control, host resources, dockers, and containers.
It provides excellent pricing for massive enterprise customers wishing to remain on-premises while achieving competitive prices to cloud providers without requiring migration.
In summary, it's a predictable cost, but the VMware aspect is a problem.
HPE GreenLake for File Storage is relatively cheaper than Cisco, so that's a big plus.
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.
The stability of this solution is a major advantage, as we've not experienced any outages in the last four years.
Dell ECS helps with managing storage requirements since it's S3 kind of object storage with all needed enterprise features such as immutability, snapshotting, and application management, which are nice sets of features usually required.
The impact of Dell ECS on my organization has been positive, improving user experience, security, and reliability.
This provides the flexibility of a pay-per-consumption model, allowing me to choose resources without investing in the entire platform.
It's important for my business that the solution has independent scaling of performance and capacity while our storage system is online.
I evaluate the solution's performance for eliminating front-end caching and data movement between media as fast; we don't notice any latency.


| Company Size | Count |
|---|---|
| Small Business | 63 |
| Midsize Enterprise | 36 |
| Large Enterprise | 143 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 12 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 2 |
| Large Enterprise | 14 |
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?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.
Dell ObjectScale is a next-generation S3 object storage platform known for scalability, performance, and efficiency. It integrates with Dell EMC products, combining hardware and software for seamless user experience in the AI era.
Dell ObjectScale implements the S3 protocol, integrating smoothly with Dell EMC solutions like ISILON. Its architecture supports data compression and interoperates with multiple protocols for enhanced performance. Enterprise features include immutability, geo-replication, and user-friendly management. However, it needs better integration with other systems, enhanced security, and disaster recovery. Write performance and scalability improvements, competitive pricing, and documentation enhancements are key areas for progress. The interface could be more straightforward, with more remote management features and native analytics.
What features does Dell ObjectScale offer?Industries leverage Dell ObjectScale for cloud-based object storage, archiving, and backups. It's favored for unstructured data management, CCTV integration, and document archiving. Strong in data analytics, it integrates well with high-capacity applications, enhancing data retention strategies across fields.
HPE GreenLake for File Storage offers flexible, scalable storage solutions, catering to enterprise needs with on-premises services and a cloud-like experience. It aims to simplify data management while providing operational agility.
HPE GreenLake for File Storage empowers organizations with an on-premises cloud service model, offering a consumption-based approach that aligns costs with demand. It supports various workloads through quick deployment and efficient capacity management, making it suitable for enterprises seeking flexible data storage solutions. Businesses benefit from streamlined operations with a focus on optimizing performance and security.
What are the key features of HPE GreenLake for File Storage?In financial services and healthcare sectors, HPE GreenLake for File Storage is implemented to manage large volumes of sensitive data. Its scalability and security features provide valuable support for compliance and data protection, while the consumption-based model ensures cost control and flexibility in data handling.
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