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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google App Engine

    Score8.4 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 Cloud Databases

    Score8 out of 10
    N/AIBM Cloud Databases are open source data stores for enterprise application development. Built on a Kubernetes foundation, they offer a database platform for serverless applications. They are designed to scale storage and compute resources seamlessly without being constrained by the limits of a single server. Natively integrated and available in the IBM Cloud console, these databases are now available through a consistent consumption, pricing, and interaction model. They aim to provide a cohesive…N/A
    Pricing
    Google App EngineIBM Cloud Databases
    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 Cloud Databases
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Google App EngineIBM Cloud Databases
    Considered Both Products
    Google
    No answer on this topic
    IBM
    Chose IBM Cloud Databases
    We use Amazon's RDS (MySQL database), Redislabs (Redis) and also MongoDB's Atlas. They all have their own advantages and disadvantages. For us, MongoDB's Atlas and Compose are obviously similar services. For now, we use Atlas to try new things (since they run the latest stable …
    Incentivized
    Key User Insights
    Would buy again
    92%
    Would buy again
    12 Answers
    94%
    Would buy again
    15 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    13 Answers
    80%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    92%
    Happy with the feature set
    12 Answers
    100%
    Happy with the feature set
    16 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    10 Answers
    93%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    92%
    Implementation went as expected
    12 Answers
    93%
    Implementation went as expected
    14 Answers
    Features
    Google App EngineIBM Cloud Databases
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of Google App Engine and IBM Cloud Databases
    Feature
    Google App Engine
    9.5
    32 Ratings
    20% above category average
    IBM Cloud Databases
    -
    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
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google App Engine and IBM Cloud Databases
    Feature
    Google App Engine
    -
    Ratings
    IBM Cloud Databases
    7.3
    94 Ratings
    14% below category average
    Automatic software patching00 Ratings8.577 Ratings
    Database scalability00 Ratings10.088 Ratings
    Automated backups00 Ratings7.091 Ratings
    Database security provisions00 Ratings9.084 Ratings
    Monitoring and metrics00 Ratings4.088 Ratings
    Automatic host deployment00 Ratings5.269 Ratings
    Best Alternatives
    Google App EngineIBM Cloud Databases
    Small Businesses
    IBM Cloud Foundry
    Score8.5 out of 10
    MongoDB Atlas
    Score7.8 out of 10
    Medium-sized Companies
    IBM Cloud Private
    Score9.6 out of 10
    Azure Database
    Score8.8 out of 10
    Enterprises
    AWS Elastic Beanstalk
    Score8.6 out of 10
    Google Cloud SQL
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google App EngineIBM Cloud Databases
    Likelihood to Recommend
    9.0
    (36 ratings)
    8.0
    (96 ratings)
    Likelihood to Renew
    8.3
    (8 ratings)
    8.0
    (7 ratings)
    Usability
    10.0
    (8 ratings)
    8.0
    (7 ratings)
    Performance
    10.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    8.4
    (12 ratings)
    1.0
    (10 ratings)
    Implementation Rating
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google App EngineIBM Cloud Databases
    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
    Less Appropriate Scenario: 1) Small Scale or Low Budget Projects 2) Organizations with limited expertise in cloud technologies may find the learning curve steep, especially if they are not familiar with the IBM Cloud platform 3) If database requirements are highly dynamic and change frequently, the comprehensive features and management provided by IBM Cloud Databases might be overkill. A more flexible, self-managed solution could be preferable for adapting to rapid changes.
    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
    • The ease of setup was effortless. For anyone with development experience, a few simple questions such as name and login data will get you set up.
    • The web application to manage cluster settings, billing settings and even introspect the data was simple and most importantly worked all the time. This can not always be said for web interfaces of other products.
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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)
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    IBM
    • Better cost reports, before just increasing to another tier, thus increasing the price. This is critical for early stage startups, where budget is tight.
    • Add more data center options. As a comparison, a similar service, Aiven.io has dozen more options than Compose (basically all big cloud providers). We moved from AWS to Digital Ocean, which made us stop using Compose, since Compose forces us to be either on IBM or AWS.
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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
    IBM is our trusted partner which never failed to meet our expectations. Stability, efficiency, usability and security is a must have for our business which is fully provided by IBM Cloud Databases
    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
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    IBM
    IBM Cloud Databases' pricing structure is easy to understand, and if you choose the right product, you can operate your system at minimal cost. Although there is ample documentation available, there doesn't seem to be a user community running on it, so specific usage know-how and troubleshooting can sometimes take longer than expected.
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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.
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    IBM
    Support is helpful enough, but we haven't always had questions answered in a satisfactory manner. At one time we realized that Compose had stopped taking database snapshots on its two-per-day schedule, and had in fact not taken one for many days. Support recognized the problem and it was fixed, but the lack of proactive checks and the inability to share exactly what happened has caused us to look elsewhere for production work loads
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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.
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    IBM
    The reason why I choose IBM Cloud Databases is that the IBM cloud toolset is already being used in other functions of the company and by using IBM Cloud Databases, the other cloud tools are better embedded and integrated. If the company is set to use amazon tools, I would go for rds.
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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
    • Prove use cases prior to administering entire platform, obtain ROI faster
    • Able to achieve the technological components of our advanced analytics team without full scale purchase of AI platform
    • Developed several studies to prove out cloud Db value, speed to deploy
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