TrustRadius: an HG Insights company

Google Compute Engine vs. IBM Power Virtual Server

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Compute Engine

    Score8.3 out of 10
    N/AGoogle Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.

    $0

    per month GB

    IBM Power Virtual Server

    Score7.2 out of 10
    N/AIBM 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 Compute EngineIBM Power Virtual Server
    Editions & Modules
    Preemptible Price - Predefined Memory
    0.000892 / GB
    Hour
    Three-year commitment price - Predefined Memory
    $0.001907 / GB
    Hour
    One-year commitment price - Predefined Memory
    $0.002669 / GB
    Hour
    On-demand price - Predefined Memory
    $0.004237 / GB
    Hour
    Preemptible Price - Predefined vCPUs
    0.006655 / vCPU
    Hour
    Three-year commitment price - Predefined vCPUS
    $0.014225 / CPU
    Hour
    One-year commitment price - Predefined vCPUS
    $0.019915 / vCPU
    Hour
    On-demand price - Predefined vCPUS
    $0.031611 / vCPU
    Hour
    No answers on this topic
    Offerings
    Pricing Offerings
    Google Compute EngineIBM Power Virtual Server
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional DetailsPrices vary according to region (i.e US central, east, & west time zones). Google Compute Engine also offers a discounted rate for a 1 & 3 year commitment.
    More Pricing Information
    Community Pulse
    Google Compute EngineIBM Power Virtual Server
    Considered Both Products
    Google
    No answer on this topic
    IBM
    Chose IBM Power Virtual Server
    IBM Power System components are more reliable and have longer uptimes than those of competing systems. The IBM Power System Virtual Server setup and configuration process was simple. To now, no errors have been made in terms of placing an unreasonable burden on the server, …
    Incentivized
    Chose IBM Power Virtual Server
    One of the greatest alternatives to IBM Power System Virtual Server is Microsoft Azure. First, I'd want to point out that it's a lot more expensive than the competition. Because it is less expensive than other virtual servers, even small and medium-sized businesses may afford …
    Incentivized
    Chose IBM Power Virtual Server
    IBM is very competitive and has most of the same features as the other products. The other products did not have a cost-competitive hybrid cloud model and primarily were cloud-based.
    Incentivized
    Key User Insights
    Would buy again
    98%
    Would buy again
    39 Answers
    99%
    Would buy again
    186 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    39 Answers
    100%
    Delivers good value for the price
    182 Answers
    Happy with the feature set
    95%
    Happy with the feature set
    38 Answers
    99%
    Happy with the feature set
    187 Answers
    Lived up to sales and marketing promises
    90%
    Lived up to sales and marketing promises
    27 Answers
    99%
    Lived up to sales and marketing promises
    161 Answers
    Implementation went as expected
    92%
    Implementation went as expected
    35 Answers
    97%
    Implementation went as expected
    172 Answers
    Features
    Google Compute EngineIBM Power Virtual Server
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of Google Compute Engine and IBM Power Virtual Server
    Feature
    Google Compute Engine
    7.3
    58 Ratings
    10% below category average
    IBM Power Virtual Server
    8.4
    188 Ratings
    4% above category average
    Service-level Agreement (SLA) uptime8.125 Ratings8.6187 Ratings
    Dynamic scaling8.353 Ratings8.1186 Ratings
    Elastic load balancing8.048 Ratings8.6183 Ratings
    Pre-configured templates7.555 Ratings8.4182 Ratings
    Monitoring tools3.026 Ratings8.2186 Ratings
    Pre-defined machine images7.357 Ratings8.3183 Ratings
    Operating system support7.958 Ratings8.4185 Ratings
    Security controls7.957 Ratings8.7184 Ratings
    Automation7.92 Ratings8.3161 Ratings
    User Ratings
    Google Compute EngineIBM Power Virtual Server
    Likelihood to Recommend
    7.6
    (58 ratings)
    8.0
    (188 ratings)
    Likelihood to Renew
    9.0
    (2 ratings)
    9.9
    (4 ratings)
    Usability
    9.0
    (8 ratings)
    7.2
    (2 ratings)
    Availability
    8.6
    (21 ratings)
    7.0
    (1 ratings)
    Performance
    8.3
    (21 ratings)
    8.0
    (1 ratings)
    Support Rating
    10.0
    (10 ratings)
    8.1
    (2 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.0
    (1 ratings)
    Configurability
    -
    (0 ratings)
    9.0
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    8.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    7.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Google Compute EngineIBM Power Virtual Server
    Likelihood to Recommend
    Google
    No answers on this topic
    IBM
    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
    Incentivized
    Read full review
    Pros
    Google
    No answers on this topic
    IBM
    • 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.
    Incentivized
    Read full review
    Cons
    Google
    • Built-in monitoring via Stackdriver is quite expensive for what it provides.
    • Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount.
    • Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services.
    Incentivized
    Read full review
    IBM
    No answers on this topic
    Likelihood to Renew
    Google
    Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.
    Incentivized
    Read full review
    IBM
    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.
    Incentivized
    Read full review
    Usability
    Google
    Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.
    Incentivized
    Read full review
    IBM
    No answers on this topic
    Reliability and Availability
    Google
    Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes
    Incentivized
    Read full review
    IBM
    Very easy to use.
    Incentivized
    Read full review
    Performance
    Google
    No answers on this topic
    IBM
    Easy to use.
    Incentivized
    Read full review
    Support Rating
    Google
    No answers on this topic
    IBM
    No answers on this topic
    Implementation Rating
    Google
    No answers on this topic
    IBM
    It is economic.
    Incentivized
    Read full review
    Alternatives Considered
    Google
    No answers on this topic
    IBM
    No answers on this topic
    Scalability
    Google
    No answers on this topic
    IBM
    No answers on this topic
    Return on Investment
    Google
    • With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems.
    • As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster.
    Incentivized
    Read full review
    IBM
    • 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.
    Incentivized
    Read full review
    ScreenShots

    Google Compute Engine Screenshots

    Screenshot of How to choose the right VM
With thousands of applications, each with different requirements, which VM is right for you?Screenshot of documentation, guides, and reference architectures
Migration Center is Google Cloud's unified migration platform with features like cloud spend estimation, asset discovery, and a variety of tooling for different migration scenarios.