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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 watsonx Orchestrate

    Score8.2 out of 10
    N/AIBM® watsonx™ Orchestrate® leverages AI to automate complex workflows. The solution helps build, deploy, and manage AI assistants and agents. It offers a catalogue of pre-built agents and tools, low-code agent builder, multi-agent collaboration capabilities, and integrations with enterprise apps.

    $530

    per month

    Pricing
    Google App EngineIBM watsonx Orchestrate
    Editions & Modules
    Starting Price
    $0.05
    Per Hour Per Instance
    Max Price
    $0.30
    Per Hour Per Instance
    Essential
    $500
    per month per subscription
    Essentials
    $500
    per month Per subscription
    Standard
    Enterprise
    Standard
    Enterprise
    per month Per subscription
    Offerings
    Pricing Offerings
    Google App EngineIBM watsonx Orchestrate
    Free Trial
    NoYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details—IBM watsonx Orchestrate can be deployed and run on IBM Cloud, AWS, or on-premises. Prices shown are indicative, may vary by country, exclude any applicable taxes and duties, and are subject to product offering availability in a locale.
    More Pricing Information
    Community Pulse
    Google App EngineIBM watsonx Orchestrate
    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
    138 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    13 Answers
    98%
    Delivers good value for the price
    125 Answers
    Happy with the feature set
    92%
    Happy with the feature set
    12 Answers
    99%
    Happy with the feature set
    140 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    10 Answers
    98%
    Lived up to sales and marketing promises
    102 Answers
    Implementation went as expected
    92%
    Implementation went as expected
    12 Answers
    94%
    Implementation went as expected
    111 Answers
    Features
    Google App EngineIBM watsonx Orchestrate
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of Google App Engine and IBM watsonx Orchestrate
    Feature
    Google App Engine
    9.5
    32 Ratings
    20% above category average
    IBM watsonx Orchestrate
    -
    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
    Best Alternatives
    Google App EngineIBM watsonx Orchestrate
    Small Businesses
    IBM Cloud Foundry
    Score8.5 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM Cloud Private
    Score9.6 out of 10
    No answers on this topic
    Enterprises
    AWS Elastic Beanstalk
    Score8.6 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google App EngineIBM watsonx Orchestrate
    Likelihood to Recommend
    9.0
    (36 ratings)
    7.8
    (133 ratings)
    Likelihood to Renew
    8.3
    (8 ratings)
    4.5
    (5 ratings)
    Usability
    10.0
    (8 ratings)
    7.3
    (79 ratings)
    Availability
    -
    (0 ratings)
    9.1
    (1 ratings)
    Performance
    10.0
    (1 ratings)
    9.1
    (1 ratings)
    Support Rating
    8.4
    (12 ratings)
    7.3
    (10 ratings)
    In-Person Training
    -
    (0 ratings)
    9.1
    (1 ratings)
    Online Training
    -
    (0 ratings)
    9.1
    (2 ratings)
    Implementation Rating
    8.0
    (1 ratings)
    9.1
    (2 ratings)
    Configurability
    -
    (0 ratings)
    9.1
    (1 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    9.1
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    9.1
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    4.5
    (1 ratings)
    Professional Services
    -
    (0 ratings)
    9.1
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    9.1
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    9.1
    (1 ratings)
    User Testimonials
    Google App EngineIBM watsonx Orchestrate
    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
    Read full review
    IBM
    For starters, most enterprise-grade organizations and Customers struggle to align their current IT estate and landscape with fast-moving, agile, AI-driven automation and development initiatives. All tooling, governance, structure, and frameworks available to support and facilitate the incorporation of this new but still cross-system technology layer are essential to minimize the risks of data leaks, unauthorized access, unbridled token consumption, and other issues. For some businesses and organizations with a handful of systems or a smaller footprint, the platform could be a bit too complex.
    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
    Read full review
    IBM
    • New and improved natural language processing yielding better results helps the assistants understand the intention behind the query.
    • Preserves context of communication, allowing the customers to establish inquiries on the website and continue on the mobile app without having extra informational input.
    • Intelligent conversations mean that complex paths that are branched based on the user's inputs allow for a much more natural flow of the conversation than fixed scripts.
    Incentivized
    Read full review
    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
    • I think that it needs to be able to integrate better with the knowledge catalogs. It currently provides a default database, which isn't quite large enough for enterprise use. We can connect that then to an external source, but it'd be nice if we could able just to instantiate one straight away.
    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
    Read full review
    IBM
    Currently we are using to develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. Action flow and dialog flow we are currently in chatbot.
    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
    With the growing use of AI and chatbots, it's very easy to use, and the conversational language makes it easier than keyword searches in a document. The contextual language processing is impressive. It's easy to integrate into our internal portal. The use of this tool would depend on each company's security and data sensitivity.
    Incentivized
    Read full review
    Performance
    Google
    No answers on this topic
    IBM
    To develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. IBM Watson library anyone can easily learn and develop chatbots.
    Incentivized
    Read full review
    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
    We've rarely had to engage support, but they've always been prompt in responding and very attentive. Support experiences have been extremely positive (but we're mostly happy that we just don't have any cause to routinely need support in the first place!).
    Incentivized
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    Online Training
    Google
    No answers on this topic
    IBM
    Excellent course material.
    Incentivized
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    Implementation Rating
    Google
    No answers on this topic
    IBM
    Overall the implementation was simple.
    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
    Strong ITSM and HR workflow automation with governance, ServiceNow excels in IT/HR but lacks flexibility for cross-departmental use cases such as demand planning, finance close, or procurement analytics. Orchestrate supports a broader set of enterprise functions beyond IT service automation. So, watsonx is a better approach than any other available tool in the market as of now, based on the use cases I've encountered and my efforts to understand the essence of the service.
    Read full review
    Scalability
    Google
    No answers on this topic
    IBM
    From past 3+ years I am using IBM Watson in our current project easily can implement and manage and monitor user how their using. Is there and update also just update dialog is just enough to change no need to touch any other templates. Multiple language will support, and action and dialog speak recognize chatbot we can create as per client requirement. Overall, as of now good experience with IBM Watson.
    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
    • As a very small team WxO give us more time back and handles manual tasks.
    • WxO helps us reduce manual errors (and the time it takes to find and resolve.)
    • WxO, as a task scheduler and reminder system, helps us not forget certain key events with time-dependent requirements.
    Incentivized
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    ScreenShots

    IBM watsonx Orchestrate Screenshots

    Screenshot of IBM® watsonx Orchestrate® homepage UI when you enter into the product.Screenshot of Catalog of AI agents and tools in different domains from multiple partnersScreenshot of Creating agents - from scratch or using a pre-built templateScreenshot of Multi Agent Collaboration - Employee Support Manager AgentScreenshot of IT domain agents from IBM and other partnersScreenshot of Integrations from multiple common applications