


Operating in the high-performance storage market, both NetApp AFF and HPE Alletra Storage offer competitive solutions. While NetApp AFF is noted for its speed and integration capabilities, HPE Alletra's flexibility in hybrid environments gives it an advantage for mixed IT settings.
Features: NetApp AFF offers exceptional speed, low latency, and rich data management tools like deduplication and SnapMirror technology. Its seamless integration with NetApp ecosystems is a significant advantage. HPE Alletra provides high-performance metrics and excellent data management features, offering embedded flexibility, notably in deployment options.
Room for Improvement: NetApp AFF users often call for more competitive pricing and improvements in performance management tools. Cloud service integration is also a demand. HPE Alletra users suggest the need for more robust integration capabilities, broader protocol support, and simplified setups, particularly without reliable internet connectivity.
Ease of Deployment and Customer Service: NetApp AFF excels in on-premises deployment with generally reliable support depending on service tier. HPE Alletra offers flexible deployment options, including private cloud integration. While customer service is generally well-regarded, initial configuration can be complex due to internet reliance.
Pricing and ROI: NetApp AFF is seen as a premium product with higher initial costs, offering strong performance-based value. In contrast, HPE Alletra is appreciated for its competitive OpEx pricing models, such as HPE GreenLake’s flexible consumption, providing an ROI advantage for budget-aware businesses.
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.
For anyone new to the company, it is very easy to understand what is going on, how to manage, how to get access and know what it is doing.
Uptime is ROI.
With Alletra, it downloads the software, and you just hit the button, and go.
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.
We have four-hour support, and 99% of our issues are resolved within that timeframe.
Last week, a ticket that needed to be solved in six hours took one week.
As soon as we have a problem, we open a ticket with them, and they immediately get back to us well within the four hour SLA that we have with them.
The support for NetApp AFF is comprehensive—not just the documentation for self-guided reading, but for simple questions, spare parts, or urgent needs, you can have a contract that enables delivery the next business day or within four hours, depending on your process requirements.
I have communicated with them, and they are effective and responsive.
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.
We've had zero downtime.
Alletra provides modular, non-disruptive scale-up and scale-out.
If we do grow beyond what the appliance already has, we know that service will take care of it and grow the appliance for us without needing to forklift upgrade.
You can add more disks, more disk shelves, or migrate the data seamlessly.
I would assess the scalability of NetApp AFF as excellent in handling massive data volumes.
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 solution is stable and rock-solid.
I have not experienced any downtime, crashes, or performance issues.
I have experienced no issues yet, so I assess the stability and reliability of HPE Alletra Storage as 100%.
They have always been upgrading very fast and implementing patches to resolve these 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.
They shouldn't strip out anything from InfoSight. That is really helpful software to see how the storage arrays are performing and has helped us do a lot of troubleshooting.
They would like to have one tool that can take them everywhere. There should be a single pane of glass.
Most importantly, there is going to be the flexibility of moving compute and storage on Alletra MP.
The GUI of ONTAP Command Manager could be better, but the CLI is perfect.
Our backup system, Commvault, has an amazing capacity to do compression and deduplication better than NetApp AFF by itself.
All of this is the same for all product ranges, whether E-series, NetApp AFF, or FAS series, because they are very efficient to respond.
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.
The predictability of having that one-time cost is everything for the data center.
It's expensive.
The pricing is cheaper, the setup is easier, and the licensing is likely the same.
NetApp support is cheaper than Dell support.
While it is not cheap, they have introduced a new series of AFF that are more affordable.
The licensing cost of the product is expensive, and when combined with support, it becomes quite costly.
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 guarantee of data availability is very important to us. Data runs everything.
The guarantee of data available to our organization is important. We're a manufacturing company. If our systems go down, we lose dollars every minute that system's offline.
It provides a cloud-like operational model on-prem for managing data infrastructure.
You can even download the ONTAP simulator and deploy it on your virtualization platform and test almost all features.
Data reduction capabilities such as deduplication, compression, and compaction are standard features included with the license in NetApp AFF.
They have 4:1 data reduction techniques, which is really very high. If you have a size of 100 terabytes, you will get 400 terabytes of usable capacity when applying compression, deduplication, or other data reduction technologies.
| Product | Mindshare (%) |
|---|---|
| NetApp AFF | 8.3% |
| HPE Alletra Storage | 6.5% |
| Everpure FlashArray | 7.5% |
| Other | 77.7% |


| Company Size | Count |
|---|---|
| Small Business | 65 |
| Midsize Enterprise | 36 |
| Large Enterprise | 152 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 25 |
| Large Enterprise | 36 |
| Company Size | Count |
|---|---|
| Small Business | 45 |
| Midsize Enterprise | 47 |
| Large Enterprise | 242 |
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.
HPE Alletra Storage provides on-premises cloud-like operations, delivering high-performance NVMe drives, VMware integration, data deduplication, and compression. It's known for simplicity, management ease, and capacity efficiency.
HPE Alletra Storage stands out for its scalability and comprehensive features, benefiting diverse workloads and scenarios. Users report faster IOPS, reduced provisioning time, and fewer support tickets. Its guarantee of data availability and strong support network ensure high operational reliability and cost-efficiency. However, it could improve NVMe compatibility, setup, and connectivity. Enhancing intuitive design and monitoring capabilities while reducing internet dependency and refining integration with existing software would increase user satisfaction. Cost efficiency and streamlined licensing are ongoing concerns, with demands for file-based storage, better scalability, and customizability improvements.
What are the key features of HPE Alletra Storage?HPE Alletra Storage is widely used in virtualization, VMware, and data center block storage, particularly in financial and healthcare sectors. Organizations utilize it for VM storage, cloud infrastructure, and databases. It supports VDI, hyper-converged infrastructure, and high-performance computing. Businesses leverage its capabilities for data backup, compression, and deduplication, integrating seamlessly with existing environments to meet enterprise storage needs with high throughput and low-latency performance.
NetApp AFF provides high-performance storage solutions, emphasizing speed and efficiency for demanding applications. Its features include low latency, inline deduplication, and seamless integration, making it ideal for businesses needing reliable storage and data management.
NetApp AFF stands out in offering rapid data access with features designed to meet the demands of high-speed environments. With capabilities such as low latency and inline deduplication, it ensures efficient data management. Data recovery and SnapMirror enhance its appeal for businesses focused on utility and integration with other NetApp systems. The clustered Data ONTAP enriches the user experience, making NetApp AFF a strong choice for those prioritizing usability and performance during migration. However, some users highlight the steep learning curve and high costs, along with the need for better integration, monitoring tools, and technical support. Improvement in migration, scalability, documentation, and automation is also desired, along with more competitive pricing.
What are its standout features?NetApp AFF is commonly utilized in industries such as telecom, healthcare, and insurance that require high-performance storage. Virtualization, database management, file storage, and NFS/CIFS protocols are key use cases. It supports high availability and disaster recovery, serving as the backbone for VM and Hyper-V infrastructures. Organizations also benefit from its low latency and support for AI workloads, optimizing operational efficiencies.
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