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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google App Engine

    Score8.5 out of 10
    N/AGoogle App Engine is Google Cloud's platform-as-a-service offering. It features pay-per-use pricing and support for a broad array of programming languages.

    $0.05

    Per Hour Per Instance

    IBM Power Virtual Server

    Score9.4 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 App EngineIBM Power Virtual Server
    Editions & Modules
    Starting Price
    $0.05
    Per Hour Per Instance
    Max Price
    $0.30
    Per Hour Per Instance
    No answers on this topic
    Offerings
    Pricing Offerings
    Google App EngineIBM Power Virtual Server
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    Google App EngineIBM Power Virtual Server
    Considered Both Products
    Google
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    92%
    Would buy again
    12 Answers
    98%
    Would buy again
    193 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    13 Answers
    99%
    Delivers good value for the price
    187 Answers
    Happy with the feature set
    92%
    Happy with the feature set
    12 Answers
    99%
    Happy with the feature set
    194 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    10 Answers
    99%
    Lived up to sales and marketing promises
    165 Answers
    Implementation went as expected
    92%
    Implementation went as expected
    12 Answers
    96%
    Implementation went as expected
    177 Answers
    Features
    Google App EngineIBM Power Virtual Server
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of Google App Engine and IBM Power Virtual Server
    Feature
    Google App Engine
    9.5
    32 Ratings
    21% above category average
    IBM Power Virtual Server
    -
    Ratings
    Ease of building user interfaces9.018 Ratings00 Ratings
    Scalability10.032 Ratings00 Ratings
    Platform management overhead9.032 Ratings00 Ratings
    Workflow engine capability8.024 Ratings00 Ratings
    Platform access control10.031 Ratings00 Ratings
    Services-enabled integration10.028 Ratings00 Ratings
    Development environment creation10.029 Ratings00 Ratings
    Development environment replication10.028 Ratings00 Ratings
    Issue monitoring and notification9.028 Ratings00 Ratings
    Issue recovery9.026 Ratings00 Ratings
    Upgrades and platform fixes10.029 Ratings00 Ratings
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of Google App Engine and IBM Power Virtual Server
    Feature
    Google App Engine
    -
    Ratings
    IBM Power Virtual Server
    8.6
    197 Ratings
    4% above category average
    Service-level Agreement (SLA) uptime00 Ratings8.9195 Ratings
    Dynamic scaling00 Ratings8.8195 Ratings
    Elastic load balancing00 Ratings9.8189 Ratings
    Pre-configured templates00 Ratings9.6190 Ratings
    Monitoring tools00 Ratings7.0194 Ratings
    Pre-defined machine images00 Ratings9.6191 Ratings
    Operating system support00 Ratings8.8193 Ratings
    Security controls00 Ratings8.0192 Ratings
    Automation00 Ratings7.0168 Ratings
    Best Alternatives
    Google App EngineIBM Power Virtual Server
    Small Businesses
    IBM Cloud Foundry (discontinued)
    Score8.6 out of 10
    IBM Cloud Object Storage
    Score9 out of 10
    Medium-sized Companies
    IBM Cloud Private
    Score9.6 out of 10
    IBM Cloud Bare Metal Servers
    Score8.7 out of 10
    Enterprises
    AWS Elastic Beanstalk
    Score8.7 out of 10
    SAP on IBM Cloud
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google App EngineIBM Power Virtual Server
    Likelihood to Recommend
    9.0
    (36 ratings)
    9.8
    (195 ratings)
    Likelihood to Renew
    8.3
    (8 ratings)
    9.0
    (5 ratings)
    Usability
    10.0
    (8 ratings)
    8.5
    (4 ratings)
    Availability
    -
    (0 ratings)
    9.1
    (2 ratings)
    Performance
    10.0
    (1 ratings)
    8.2
    (2 ratings)
    Support Rating
    8.4
    (12 ratings)
    9.1
    (3 ratings)
    Implementation Rating
    8.0
    (1 ratings)
    7.0
    (1 ratings)
    Configurability
    -
    (0 ratings)
    9.0
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    7.5
    (3 ratings)
    Product Scalability
    -
    (0 ratings)
    9.0
    (3 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Google App EngineIBM Power Virtual Server
    Likelihood to Recommend
    Google
    App Engine is such a good resource for our team both internally and externally. You have complete control over your app, how it runs, when it runs, and more while Google handles the back-end, scaling, orchestration, and so on. If you are serving a tool, system, or web page, it's perfect. If you are serving something back-end, like an automation or ETL workflow, you should be a little considerate or careful with how you are structuring that job. For instance, the Standard environment in Google App Engine will present you with a resource limit for your server calls. If your operations are known to take longer than, say, 10 minutes or so, you may be better off moving to the Flexible environment (which may be a little more expensive but certainly a little more powerful and a little less limited) or even moving that workflow to something like Google Compute Engine or another managed service.
    Incentivized
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    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
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    Pros
    Google
    • Quick to develop, quick to deploy. You can be up and running on Google App Engine in no time.
    • Flexible. We use Java for some services and Node.js for others.
    • Great security features. We have been consistently impressed with the security and authentication features of Google App Engine.
    Incentivized
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    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
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    Cons
    Google
    • There is a slight learning curve to getting used to code on Google App Engine.
    • Google Cloud Datastore is Google's NoSQL database in the cloud that your applications can use. NoSQL databases, by design, cannot give handle complex queries on the data. This means that sometimes you need to think carefully about your data structures - so that you can get the results you need in your code.
    • Setting up billing is a little annoying. It does not seem to save billing information to your account so you can re-use the same information across different Cloud projects. Each project requires you to re-enter all your billing information (if required)
    Incentivized
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    IBM
    • 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.
    Incentivized
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    Likelihood to Renew
    Google
    App Engine is a solid choice for deployments to Google Cloud Platform that do not want to move entirely to a Kubernetes-based container architecture using a different Google product. For rapid prototyping of new applications and fairly straightforward web application deployments, we'll continue to leverage the capabilities that App Engine affords us.
    Incentivized
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    IBM
    Easy to understand the architecture, easy of implementation and support with perfect documentation. Results driven performance in terms of latency and speed. Able to perform heavy workloads and huge transformations, also integrated SAP systems and Oracle robust deployments. But looking more in terms of AI capabilities to achieve more innovation.
    Incentivized
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    Usability
    Google
    I had to revisit the UI after a year of just setting up and forgetting. The UI got some improvements but the amount of navigation we have to go through to setup a new app has increased but also got easier to setup. Gemini now is integrated and make getting answers faster
    Incentivized
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    IBM
    It provides strong support for Terraform, Ansible, and API-based management gives power users flexibility and efficiency and IBM Cloud UI is modern and relatively easy to navigate. Interfaces and workflows are consistent with on-prem Power Systems management tools. Areas to be improved - Compared to AWS or Azure, the UI could be more streamlined in how it presents all related services (e.g., networking, logging, storage) that tie into PowerVS
    Incentivized
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    Reliability and Availability
    Google
    No answers on this topic
    IBM
    Very easy to use.
    Incentivized
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    Performance
    Google
    No answers on this topic
    IBM
    While there’s room for improvement, it generally works very well.
    Incentivized
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    Support Rating
    Google
    Good amount of documentation available for Google App Engine and in general there is large developer community around Google App Engine and other products it interacts with. Lastly, Google support is great in general. No issues so far with them.
    Incentivized
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    IBM
    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.
    Incentivized
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    Implementation Rating
    Google
    No answers on this topic
    IBM
    It is economic.
    Incentivized
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    Alternatives Considered
    Google
    We were on another much smaller cloud provider and decided to make the switch for several reasons - stability, breadth of services, and security. In reviewing options, GCP provided the best mixtures of meeting our needs while also balancing the overall cost of the service as compared to the other major players in Azure and AWS.
    Incentivized
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    IBM
    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.
    Incentivized
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    Scalability
    Google
    No answers on this topic
    IBM
    Built to handle thousands of concurrent users, high query loads, and massive datasets especially in data-heavy industries like finance, healthcare, and manufacturing. In-memory processing, dynamic query optimization, and intelligent caching mechanisms help it scale efficiently under load. You can configure clusters of Cognos servers to distribute workload and ensure high availability, even during peak usage
    Incentivized
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    Return on Investment
    Google
    • Effective employee adoption through ease of use.
    • Effective integration to other java based frameworks.
    • Time to market is very quick. Build, test, deploy and use.
    • The GAE Whitelist for java is an important resource to know what works and what does not. So use it. It would also be nice for Google to expand on items that are allowed on GAE platform.
    Incentivized
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    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
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