

Oracle Cloud Object Storage and HPE Alletra Storage MP B10000 are competitors in the enterprise storage solutions market. HPE Alletra Storage MP B10000 appears to hold an advantage due to its AI-driven capabilities and integrated management platform, providing a more efficient on-prem cloud experience and better disaster recovery integration.
Features: Oracle Cloud Object Storage offers user-friendly bucket management, strong security models with encryption, and high availability for large datasets. It supports multi-region configurations for enhanced data accessibility and lifecycle management, including archiving. HPE Alletra Storage MP B10000 provides management simplicity, superior performance, and a cloud-like on-prem experience. It integrates disaster recovery and scalability features alongside AI-driven predictive analytics, leading to efficient provision and operations.
Room for Improvement: Oracle Cloud Object Storage needs enhancements in integration, usability, and retrieval process simplification. Users also express the need for improved customization options and more responsive technical support. HPE Alletra Storage MP B10000 could benefit from enhanced device configuration feedback and better portal management. Faster administrative processing and unified hardware solutions for block and file storage are also desirable improvements.
Ease of Deployment and Customer Service: Oracle Cloud Object Storage is known for its extensive use in public clouds with high-level support, although support response times can be lacking. Its familiar configurations are well-suited to various deployment models. HPE Alletra Storage MP B10000 is tailored to on-premises environments and is praised for its straightforward setup and integrated management platform. Customer support effectively addresses activation and procedural issues.
Pricing and ROI: Oracle Cloud Object Storage offers competitive pricing with flexible licensing but could adjust prices for disaster recovery needs. Users find it affordable when compared to on-prem solutions and note a positive ROI. HPE Alletra Storage MP B10000, while seen as higher priced due to its advanced features, provides competitive CAPEX options and is noted for cost-effectiveness under the GreenLake model. Users highlight favorable pricing arrangements, making it valuable for premium cost considerations.
I have seen a return on investment from HPE Alletra Storage MP B10000.
I have seen a return on investment, which is a little more nuanced, as with HPE GreenLake for File Storage being an operational expense allows me to do a lot more with fewer dollars, spread over the course of the contract.
Concerning the storage itself, they're pretty damn close to perfect.
I evaluate the customer service and technical support for HPE Alletra Storage MP B10000 as excellent so far.
Normally, with the Nimble systems and with HPE Alletra MPs or HPE Alletra Storage MP B10000 with Nimble OS, we have not had many support cases in the last years.
When issues arise, it takes them at least three to four hours to respond.
I have a premium subscription for Oracle Cloud, which ensures a high level of support.
Oracle is more cost-effective than competitors.
HPE Alletra Storage MP B10000 scales with the growing needs of my organization in terms of performance for applications.
I haven't seen any issues with HPE Alletra Storage MP B10000 in terms of scaling capacity and performance independently.
Upgrading from a smaller controller to a more powerful one is straightforward for enhancing speed, or you can extend the network ports.
The scalability of Oracle Cloud Object Storage deserves a perfect ten as it can be scaled easily.
We can adjust the number of CPUs as per our need and reduce the load.
The experience has no downtimes or crashes, and the performance is good.
The stability and reliability level of HPE Alletra Storage MP B10000 is very good.
In the past three years, I have not had even one escalation call.
The system is stable, especially when set up in a single region.
In a price-sensitive market like India, obtaining an administrator is much more cost-effective than the cloud alternative, which is almost four times as expensive.
I would like to see HPE GreenLake for File Storage improved in terms of the program's speed, as the administration, creation of change orders, issuance of those orders, and shipping of products take a while.
HPE Alletra Storage MP B10000 could be improved by integrating it with GreenLake, as this would enable us to do end-to-end monitoring across both on-prem and cloud environments better.
The product can be difficult to use compared to how it is marketed.
I would like to know about integration with other Oracle Cloud services and whether it is easy to integrate Oracle Cloud Object Storage with other Oracle Cloud solutions.
The retrievability for Oracle Cloud Object Storage could be made simpler through the implementation of a GUI interface to retrieve data.
HPE Alletra Storage MP B10000 is not so expensive.
My experience with pricing, setup costs, and licensing was good.
Regarding pricing, this year I compared it with other vendors, and HPE is still on par with what the other vendors have out there, so I'm comfortable with the pricing.
The pricing for Oracle Cloud Object Storage deserves a perfect ten as it is very inexpensive.
It is an expensive product.
The pricing for Oracle Cloud is comparable to other cloud providers.
Regarding DR, the RPO and RTOs are very good.
Regarding the predictive analytics feature of HPE Alletra Storage MP B10000, you can analyze information over the DSCC, the Data Center Cloud Console, where you can see a lot of information to indicate whether the system has had problems or not.
The performance level of HPE Alletra Storage MP B10000 impacts our organization's processes by enhancing operational efficiency.
High availability, a large dataset, and stability are our main criteria for using this solution.
I find manageability, scalability, and security of the product most valuable.
It also provides multi-region support, enhancing data accessibility and safety.
| Product | Market Share (%) |
|---|---|
| HPE Alletra Storage MP B10000 | 3.6% |
| Oracle Cloud Object Storage | 3.6% |
| Other | 92.8% |

| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 4 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 3 |
| Large Enterprise | 6 |
HPE Alletra Storage MP B10000, formerly known as HPE GreenLake for Block Storage, offers unmatched data availability with enhanced management and scalability, providing a cloud-like experience on-premises.
Designed for integrating applications and managing virtual environments, HPE Alletra Storage MP B10000 supports VM snapshots and disaster recovery. It combines NVMe Storage with AI-driven analytics and Intent-based Provisioning. The subscription model ensures efficient cost management, decreasing operational expenses and boosting SLAs. Users benefit from simplified provisioning and monitoring, improving efficiency while minimizing downtime. Despite its advantages, users find configuration changes slow and device identification challenging due to default naming issues.
What are the key features of HPE Alletra Storage MP B10000?
What benefits should users consider?
HPE Alletra Storage MP B10000 is widely implemented in industries leveraging virtualization and VMware workloads. It supports VMware infrastructures, including switches and access points, and is the next generation for Primera storage. Users in radiology pack solutions and Kubernetes stacks benefit from its advanced provisioning and demo-running capabilities.
Scale with no new hardware - eliminates new capital expenditures, opens up data center space and reduces power and cooling requirements.
Elastic storage - shared infrastructure allows for infinite scalability. Eliminates forecasting and long procurement cycles.
Pay as you go and subscription models - purchase capacity with no commitment or reduce costs with longer-term agreements
Simple to manage industry standard OpenStack and RESTful APIs streamline management integration, freeing resources to accelerate other cloud projects.
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