HPE Alletra offers high-performance storage solutions for enterprise environments, ideal for mission-critical applications like data analytics, AI/ML workloads, VDI, and cloud-native applications.
Users highlighted the exceptional performance, reliability, scalability, and ease of use as the most valuable features of HPE Alletra. The product's high-performance capabilities were praised for delivering fast and efficient storage solutions.
Customers also appreciated the reliable nature of HPE Alletra, noting its ability to meet their storage needs without any issues consistently.
Another standout feature was the product's scalability, which allows businesses to easily expand their storage capacity as needed.
Additionally, users found the product to be user-friendly, with an intuitive interface that simplified storage management processes.
The interface is described as clunky and unintuitive, making it difficult for users to navigate and utilize the features effectively.
There have been complaints about the speed and performance of the product, with users experiencing delays and lags when accessing or transferring data. Additionally, HPE Alletra's pricing has been deemed higher, making it less accessible for smaller companies or organizations with limited budgets.
Users have mentioned issues with the customer support provided by HPE, noting slow response times and a lack of helpful solutions to their problems.
Users were pleased with HPE Alletra's performance, speed, and reliability. They found it easy to scale and integrate with their existing systems.
The pricing for HPE Alletra is competitive and reasonable, the setup cost is straightforward and easy to manage, and the licensing options are flexible and accommodating to different needs.
The primary use case of HPE Alletra is for high-performance storage solutions in enterprise environments, particularly for running mission-critical applications.
Users have mentioned using it for data analytics, artificial intelligence/machine learning workloads, virtual desktop infrastructure (VDI) deployments, and cloud-native applications. HPE Alletra is also utilized for disaster recovery and backup solutions, as well as for improving overall storage efficiency and performance in data centers.
Customer service and support for HPE Alletra were described as excellent, top-notch, and extremely helpful. Users appreciated the quick response times, knowledgeable staff, and overall positive experience when seeking assistance.
Users have praised the simplicity and ease of the initial setup process of HPE Alletra, noting that it can be done quickly and without the need for extensive technical knowledge.
The intuitive interface and helpful documentation provided by HPE have been highlighted as major factors contributing to a smooth and efficient setup experience for users.
The majority of users find HPE Alletra to have excellent scalability, with many praising its ability to easily expand and grow with their business needs. Users appreciate the seamless scalability that allows them to increase capacity and performance without disruption.
User opinions on the stability of HPE Alletra vary. Some users find that it offers a solid and reliable performance, with minimal downtime and consistent results. Others, however, have reported experiencing occasional issues with instability and disruptions to their workflow.
Users praise its exceptional performance, reliability, scalability, and ease of use, highlighting its ability to enhance storage efficiency and improve data center performance. It has proven to increase efficiency, productivity, sales, and customer satisfaction for organizations.
1. Accenture
2. Aetna
3. AIG
4. Airbus
5. Allianz
6. American Express
7. ATT
8. Bank of America
9. Barclays
10. BASF
11. Bayer
12. Berkshire Hathaway
13. Boeing
14. BNP Paribas
15. Citigroup
16. Coca Cola
17. Comcast
18. Credit Suisse
19. Dell
20. Deutsche Bank
21. Eni
22. ExxonMobil
23. Ford Motor Company
24. General Electric
25. Google
26. HSBC
27. IBM
28. Intel
29. JPMorgan Chase
30. Kroger
31. L'Oreal
32. Merck
