Google Cloud Platform vs. IBM Power Virtual Server

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Platform
Score 8.1 out of 10
N/A
Google Cloud Platform is a suite of cloud computing services used to build apps or take advantage of cloud infrastructural services, achieve legacy infrastructure modernization, or manage enterprise data and analytic needs.N/A
IBM Power Virtual Server
Score 7.3 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​.N/A
Pricing
Google Cloud PlatformIBM Power Virtual Server
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Cloud PlatformIBM Power Virtual Server
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Google Cloud PlatformIBM Power Virtual Server
Features
Google Cloud PlatformIBM Power Virtual Server
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Google Cloud Platform
8.9
Ratings
10% above category average
IBM Power Virtual Server
8.5
Ratings
6% above category average
Service-level Agreement (SLA) uptime9.00 Ratings8.70 Ratings
Dynamic scaling10.00 Ratings8.20 Ratings
Elastic load balancing9.00 Ratings8.70 Ratings
Pre-configured templates8.00 Ratings8.50 Ratings
Monitoring tools9.00 Ratings8.30 Ratings
Pre-defined machine images9.00 Ratings8.40 Ratings
Operating system support8.00 Ratings8.50 Ratings
Security controls9.00 Ratings8.70 Ratings
Automation9.00 Ratings8.30 Ratings
Best Alternatives
Google Cloud PlatformIBM Power Virtual Server
Small Businesses
DigitalOcean Droplets
DigitalOcean Droplets
Score 8.7 out of 10
DigitalOcean Droplets
DigitalOcean Droplets
Score 8.7 out of 10
Medium-sized Companies
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
Enterprises
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
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User Ratings
Google Cloud PlatformIBM Power Virtual Server
Likelihood to Recommend
9.0
(0 ratings)
8.1
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.9
(0 ratings)
Usability
-
(0 ratings)
7.2
(0 ratings)
Availability
-
(0 ratings)
7.0
(0 ratings)
Performance
-
(0 ratings)
8.0
(0 ratings)
Support Rating
-
(0 ratings)
8.1
(0 ratings)
Implementation Rating
-
(0 ratings)
7.0
(0 ratings)
Configurability
-
(0 ratings)
9.0
(0 ratings)
Ease of integration
-
(0 ratings)
8.0
(0 ratings)
Product Scalability
-
(0 ratings)
7.0
(0 ratings)
Vendor post-sale
-
(0 ratings)
8.0
(0 ratings)
Vendor pre-sale
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
Google Cloud PlatformIBM Power Virtual Server
Likelihood to Recommend
For how it helps our team with data storage and connecting to GA4 as a backup option, and the incredibly low cost for us to use it and reliably back up our data, I would highly recommend using this tool for all of your cloud storage needs. It's easy to use and their customer service is always responsive and easy to get a hold of.
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Due to its reliability, it is well-suited for mission-critical applications. It is also well suited for running multiple applications on a single server and fully utilizing the server's full capacity. However, it is not well suited for servers that require dedicated IO resources.
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Pros
  • Google Cloud Platform provide the autoscale workload when the workload need to scale up or down
  • Great pay-as-you-go pricing model and dashboard report of pricing that help user monitor and optimize the cost
  • Using simpler than other cloud provider
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  • It is good in managing our documents in a precise manner.
  • It is a comprehensive tool and supports other languages like JAVA and Python and it is useful for us.
  • It is quite a valuable tool available at a reasonable price in the market and it is a scalable tool.
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Cons
  • The Logs Explorer is quite hard to dig into and find logs of interest
  • BigQuery transparency for BigLake vs External tables isn't the best
  • Google Group management for permissions can get hairy.
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  • The software appears to be geared for a no-programming approach, which implies that making changes is more difficult.
  • The user base is small making it monotonous and difficult to come up with new methods.
  • The number of rankings is not as large as competitors.
  • The admin end is poorly designed, as they are unable to receive and respond to client feedback.
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Likelihood to Renew
No answers on this topic
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.
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Usability
I've found it incredibly easy to use since day one of deployment.
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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.
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Reliability and Availability
No answers on this topic
Very easy to use.
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Performance
No answers on this topic
Easy to use.
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Support Rating
No answers on this topic
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.
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Implementation Rating
No answers on this topic
It is economic.
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Alternatives Considered
I feel GCS buckets are pretty interchangeable with Amazon S3 as far as I have typically used them. It just depends on who or your company wants to give money to. I have liked the Google Cloud Platform BigQuery console better than the interface for Snowflake, but that may be due to familiarity and the proportion of time I've used Google Cloud Platform over Snowflake.
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There were different factors which were involved in terms of evaluating IBM as a preferred choice over other offering because of performance and reliability in terms of high performance computing and overall enterprise great feature in terms of critical application which outperforms or maybe beat any time other offerings like AWS system manager data availability is one more in terms of disaster recovery solution and high availability feature the kind of offering IBM provide was way more than in terms of other fujitsu server.
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Scalability
No answers on this topic
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.
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Return on Investment
  • Approx 30% cost savings after moving from on-prem to GCP due to reduced hardware, maintenance of DC support, and energy costs.
  • There are much faster release cycles due to CI/CD pipelines with cloud build and scalable infrastructure using GKE. It works very nicely.
  • We use BigQuery a lot, and what used to take hours now takes minutes, speeding up business decisions across teams. Clients.
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  • We have had a return on investment of 30%.
  • 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.
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ScreenShots

Google Cloud Platform Screenshots

Screenshot of a view of Google Compute EngineScreenshot of the GCP consoleScreenshot of SLIsScreenshot of various homepages