Azure VMware Solution enables users to run VMware workloads natively on Azure. The user can move VMware-based workloads from the datacenter to Azure and integrate a VMware environment with Azure. This enables users to continue managing existing environments with the same VMware tools already in use while including Azure native services. Azure VMware Solution is a Microsoft service, verified by VMware, that runs on Azure infrastructure.
$10.41
per hour
IBM Power Virtual Server
Score 9.3 out of 10
N/A
IBM presents their Power Systems Virtual Server as a scalable, cost-effective way to run IBM AIX, IBM i and Linux workloads.
Power Virtual Servers stacks up well against the competition. It's easy to use and highly reliable. I would recommend it over any of the other solutions.
Features
Azure VMware Solution
IBM Power Virtual Server
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Cloud-Native Applications: If you are building cloud-native applications that are designed to run on Azure, AVS may not be the best solution. In this case, you should consider using Azure-native services, such as Azure Kubernetes Service (AKS) or Azure Functions.Minimal Workloads: If you have a small number of workloads, it may not be cost-effective to use AVS. In this case, you can consider using Azure Virtual Machines (VMs) or other Azure services that are better suited for small workloads.Custom Hardware Configurations: If you require custom hardware configurations or specialized hardware, AVS may not be able to meet your requirements. In this case, you can consider using other Azure services, such as Azure Dedicated Hosts, that offer more flexibility in terms of hardware configurations.Cost-Sensitive Workloads: If you have cost-sensitive workloads, AVS may not be the best solution. While AVS offers many benefits, it can also be more expensive than other Azure services. In this case, you should consider using Azure services that are more cost-effective, such as Azure Virtual Machines.
It is really impactful in terms of scenarios like ERP systems and Data Analytics where heavy data needs to be analysed in terms of volume and their needs to be high scalability offering so in that scenario it is a great asset and features like distribution of workload using AI capabilities by leveraging modern IBM offerings like Watson is really helpful the area in which it could improve is native development of application in terms of adoption of New cloud Technologies
At the moment we are 100% satisfied with the performance and our support team is well used to the process involved. So unless we have some major issues in adopting, we are sure to be with IBM itself.
I would rate IBM Power Virtual Server’s overall usability as an 8 out of 10. The platform offers a solid interface and intuitive dashboard, making it relatively easy for users with cloud experience to navigate. Its scalability and flexibility are strong points. However, the learning curve for new users can be steep, especially when dealing with complex integrations or configurations. While documentation and support are extensive, some users may find the setup process challenging. Overall, it’s highly functional but could be streamlined further for beginners.
As with most IBM products the ongoing support for IBM Power Virtual Server is solid and consistent. IBM provides a clear roadmap for receiving support of their products. Both voice and online response is offered. It is obvious that IBM has the internal systems and culture to maintain support functions. This starts from the initial support call to the problem analysis and continues through the problem resolution. Documentation and communication are consistent within this process.
They both have their own ups and downs and it totally depends on the team which suits them best. IBM Power Virtual Server has Performance, Scalability, Reliability and Availability, Compatibility, and Good Vendor Support. The specific use case and workload requirements played a significant role. Some workloads may benefit from IBM Power Systems' architecture, while others may perform equally well on alternative platforms.
I would rate IBM Cognos Analytics’ scalability as a 9 out of 10. The platform is highly capable of handling large volumes of data and supporting thousands of users with ease. Its architecture is designed for high performance, though it may require fine-tuning for extremely complex data environments to maintain optimal performance.
Cost Savings: One of the key benefits of AVS is that it can help businesses save money by reducing the costs associated with maintaining and upgrading on-premises infrastructure.
AVS can help businesses improve their agility by enabling them to quickly provision and scale VMware workloads in Azure.
There have also been 80% fewer application crashes due to a lack of resources that previously ran on the X86 platform.
Administration management has been simplified and staff can dedicate themselves to the development of applications, instead of providing support to users when the applications do not respond efficiently, this made staff 45% more productive.