TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    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

    Google Cloud Contact Center AI

    Score5.2 out of 10
    N/AGoogle has launched a cloud based contact center software which uses artificial intelligence (AI) to improve the customer experience and provide real-time insights for agents. Announced in July 2018, this product adds three core AI functionalities to the contact center software tool belt with its Dialogflow feature: virtual agents, AI assistance for human agents, and contact center analytics. Google’s product streamlines inbound and outbound communications by…N/A
    Pricing
    Google App EngineGoogle Cloud Contact Center AI
    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 EngineGoogle Cloud Contact Center AI
    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 EngineGoogle Cloud Contact Center AI
    Considered Both Products
    Google
    No answer on this topic
    Google
    No answer on this topic
    Key User Insights
    Would buy again
    92%
    Would buy again
    12 Answers
    100%
    Would buy again
    12 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    13 Answers
    100%
    Delivers good value for the price
    10 Answers
    Happy with the feature set
    92%
    Happy with the feature set
    12 Answers
    100%
    Happy with the feature set
    12 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    10 Answers
    100%
    Lived up to sales and marketing promises
    10 Answers
    Implementation went as expected
    92%
    Implementation went as expected
    12 Answers
    86%
    Implementation went as expected
    6 Answers
    Features
    Google App EngineGoogle Cloud Contact Center AI
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of Google App Engine and Google Cloud Contact Center AI
    Feature
    Google App Engine
    9.5
    32 Ratings
    20% above category average
    Google Cloud Contact Center AI
    -
    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
    Contact Center Software
    Comparison of Contact Center Software features of Google App Engine and Google Cloud Contact Center AI
    Feature
    Google App Engine
    -
    Ratings
    Google Cloud Contact Center AI
    8.4
    12 Ratings
    1% below category average
    Agent dashboard00 Ratings8.612 Ratings
    Validate callers00 Ratings7.911 Ratings
    Outbound response00 Ratings8.211 Ratings
    Call forwarding00 Ratings8.610 Ratings
    Click-to-call (CTC)00 Ratings8.911 Ratings
    Warm transfer00 Ratings8.89 Ratings
    Predictive dialing00 Ratings8.39 Ratings
    Interactive voice response00 Ratings8.410 Ratings
    REST APIs00 Ratings7.211 Ratings
    Call scripts00 Ratings8.210 Ratings
    Call tracking00 Ratings8.610 Ratings
    Multichannel integration00 Ratings8.811 Ratings
    CRM software integration00 Ratings8.711 Ratings
    Workforce Optimization (WFO)
    Comparison of Workforce Optimization (WFO) features of Google App Engine and Google Cloud Contact Center AI
    Feature
    Google App Engine
    -
    Ratings
    Google Cloud Contact Center AI
    8.6
    12 Ratings
    3% above category average
    Inbound call routing00 Ratings8.311 Ratings
    Omnichannel inbound routing00 Ratings8.111 Ratings
    Recording00 Ratings8.812 Ratings
    Quality management00 Ratings8.911 Ratings
    Call analytics00 Ratings9.111 Ratings
    Historical reporting00 Ratings9.010 Ratings
    Live reporting00 Ratings8.410 Ratings
    Customer surveys00 Ratings8.18 Ratings
    Customer interaction analytics00 Ratings8.49 Ratings
    Best Alternatives
    Google App EngineGoogle Cloud Contact Center AI
    Small Businesses
    IBM Cloud Foundry
    Score8.5 out of 10
    Zendesk Talk
    Score8.2 out of 10
    Medium-sized Companies
    IBM Cloud Private
    Score9.6 out of 10
    Genesys Multicloud CX (discontinued)
    Score8 out of 10
    Enterprises
    AWS Elastic Beanstalk
    Score8.6 out of 10
    Bright Pattern Contact Center
    Score8.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google App EngineGoogle Cloud Contact Center AI
    Likelihood to Recommend
    9.0
    (36 ratings)
    8.5
    (12 ratings)
    Likelihood to Renew
    8.3
    (8 ratings)
    9.0
    (1 ratings)
    Usability
    10.0
    (8 ratings)
    9.0
    (1 ratings)
    Performance
    10.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    8.4
    (12 ratings)
    -
    (0 ratings)
    Implementation Rating
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google App EngineGoogle Cloud Contact Center AI
    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
    Google
    Well suited for sites where the product is hardware because with those if there are any questions then the site could help eliminate having to contact the company directly and waiting for answers days later. This would be suited for products as the answer could be given and the more complex questions would be directed to the company.
    Incentivized
    Read full review
    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
    Google
    • Google Cloud Contact Center AI is based on the same foundation infrastructure and services as Google Assistant, therefore, it is robust and flexible. The APIs are very well built and documented as well. Any newbie can start using the service with a very little learning curve.
    • Seamless integrations are also a great add-on. Google makes sure that Contact Center AI service integrates well with leading customer service platforms which helps any user to use only the required functionalities from Contact Center AI and meanwhile use any other primary platform.
    • Robust documentation which is always alive and is updated within no time is of great help! Google makes sure its end customers know what to do where and when in clear plain text and any issues/ bugs are also documented.
    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
    Read full review
    Google
    • It's still in the beginning phase of sentimental Analysis and more data sets can really help during tough conversations.
    • Automation can be made a little simpler and basic for anyone to be able to work on it.
    • Each instance of the software can have its own AI learning for a wider range of real time issues.
    Incentivized
    Read full review
    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
    Google
    We are happy with the implementation and functionality of the software and associated systems. In general, unless something better can replace this system we intend on continuing. We think the ease of systems implementation and integration adds value and substantiates the use and excellent functionality of the product and associated services.
    Incentivized
    Read full review
    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
    Read full review
    Google
    Generally intuitive and easy to learn. I would like more guides but the learning curve is rather quick and makes the software rather an easy study for the average user. Generally, the support and functionality of the software make for a generally good outcome and easy implementation of the software and user experience.
    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
    Read full review
    Google
    No answers on this topic
    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
    Read full review
    Google
    Only IBM Watson Assistant has been the one we have used in the company, in fact, it was the first to use it because currently in the market there are not many options to use, and if there are they are not receiving enough publicity, so we have limited ourselves to google cloud contact center AI.
    Incentivized
    Read full review
    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
    Read full review
    Google
    • Reduced the number of minutes spent by live agents on trivial queries.
    • Our client saved thousands of dollars by using the AI contact center as now the agents spend most of their time solving real issues.
    • Customer satisfaction got increased exponentially.
    Incentivized
    Read full review
    ScreenShots