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Google Cloud Dialogflow vs. IBM watsonx Orchestrate

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Cloud Dialogflow

    Score7.3 out of 10
    N/ADialogflow (formerly Api.ai) is a chatbot building tool, designed to give users new ways to interact with digital products by building engaging voice and text-based conversational interfaces powered by AI. Dialogflow was acquired by Google in 2019.N/A

    IBM watsonx Orchestrate

    Score8.7 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.

    $500

    per month

    Pricing
    Google Cloud DialogflowIBM watsonx Orchestrate
    Editions & Modules
    No answers on this topic
    Essential
    $500
    per month per subscription
    Essentials
    $500
    per month Per subscription
    Standard
    Enterprise
    Standard
    Enterprise
    per month Per subscription
    Offerings
    Pricing Offerings
    Google Cloud DialogflowIBM watsonx Orchestrate
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    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 Cloud DialogflowIBM watsonx Orchestrate
    Considered Both Products
    Google
    No answer on this topic
    IBM
    Chose IBM watsonx Orchestrate
    Similar positions for similar purposes include Google Cloud Dialogflow and Azure AI Bot Service that I have considered. As opposed to Dialogflow, IBM watsonx Assistant is more tightly linked to comprehensive analytical units that provide clearer and more comprehensive data …
    Incentivized
    Chose IBM watsonx Orchestrate
    Google Cloud Dialogflow, Amazon Lex, and Azure AI Bot Service were assessed before selecting IBM watsonx Assistant. The primary reason we used IBM watsonx Assistant is the ability to remember diverse contexts during the multiphase bookings and to support multiple languages that …
    Incentivized
    Chose IBM watsonx Orchestrate
    My experience working with Microsoft Bot Framework and Dialogflow has shown that Watson Assistant features an intuitive interface combined with powerful analytics. We selected Watson Assistant because it strikes an excellent balance between providing powerful capabilities while …
    Incentivized
    Chose IBM watsonx Orchestrate
    It focus on enterprise level flexibility and it also provides us cloud and on prem both support which helps in integrating with legacy and modern systems. It has better compliance standards than other competitors. Better data governance and cost effective AI model which is very …
    Incentivized
    Chose IBM watsonx Orchestrate
    Watson proved to be better and easier to use than Dialogflow. As for Twilio, we used it as an orchestrator in conjunction with Watson.
    Incentivized
    Chose IBM watsonx Orchestrate
    IBM watsonx Assistant more simple and IBM support team very Professional
    Incentivized
    Chose IBM watsonx Orchestrate
    IBM watsonx is clearly superior to yellow.ai. Compared to Google Dialogflow is a tight comparison.
    Incentivized
    Chose IBM watsonx Orchestrate
    Microsoft's NLP approaches are interesting and powerful, but they don't have an easy way to model the interaction between actions like watsonx, and they don't have a powerful way to test your virtual agents while you build them. Salesforce Einstein is a basic platform and …
    Incentivized
    Chose IBM watsonx Orchestrate
    Microsoft NLP approaches are interesting and powerful, but they don't have an easy way to model the interaction between actions like Watson, and they don't have a powerful way to test your virtual agent while you build them. Salesforce Einstein is a basic platform and doesn't …
    Incentivized
    Chose IBM watsonx Orchestrate
    This part of the review might be not as comprehensive as we haven't done a deep comparison. For our internal use cases, we are already using IBM Watson APIs for speech, text, and image recognition in our products. So it kind of makes sense to continue using the IBM Watson suite …
    Incentivized
    Chose IBM watsonx Orchestrate
    IBM Watson Assistant is much more complex than all the other products mentioned as it uses AI and NLP from the beginning of the conversation which therefore translates into a better customer experience whereas the others are easier to set up and deploy in the beginning.
    Incentivized
    Chose IBM watsonx Orchestrate
    similarly powerful, but not a match in terms of entity definition intended for simpler workflows and problems
    Incentivized
    Chose IBM watsonx Orchestrate
    Mainly the UI of DialogFlow is not at all developer friendly which will definitely move you to IBM Watson [Assistant] which has the clear UI with multiple options arranged in [a] usable manner.
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    6 Answers
    No answers on this topic
    Delivers good value for the price
    83%
    Delivers good value for the price
    5 Answers
    No answers on this topic
    Happy with the feature set
    83%
    Happy with the feature set
    5 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    6 Answers
    No answers on this topic
    Best Alternatives
    Google Cloud DialogflowIBM watsonx Orchestrate
    Small Businesses
    Fin by Intercom
    Score8.5 out of 10
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    Medium-sized Companies
    Fin by Intercom
    Score8.5 out of 10
    No answers on this topic
    Enterprises
    Azure AI Bot Service
    Score9.1 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud DialogflowIBM watsonx Orchestrate
    Likelihood to Recommend
    7.0
    (6 ratings)
    8.1
    (95 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.1
    (5 ratings)
    Usability
    8.0
    (6 ratings)
    7.3
    (80 ratings)
    Availability
    -
    (0 ratings)
    9.1
    (1 ratings)
    Performance
    -
    (0 ratings)
    9.1
    (1 ratings)
    Support Rating
    8.3
    (5 ratings)
    9.1
    (9 ratings)
    In-Person Training
    -
    (0 ratings)
    9.1
    (1 ratings)
    Online Training
    -
    (0 ratings)
    9.1
    (2 ratings)
    Implementation Rating
    -
    (0 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)
    9.1
    (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 Cloud DialogflowIBM watsonx Orchestrate
    Likelihood to Recommend
    Google
    Indicated for those who have good knowledge of programming and coding in HTML and JSON, that is, it is not suitable for beginners or users without much technical knowledge. It is suitable for those who want to integrate with various platforms, such as Telegram, Webhat, Facebook Messenger, among others. I also recommend it to anyone who needs to create a chatbot in several languages (it is not automatic translation). Recommended to create new projects in CX environment and not in ES.
    Incentivized
    Read full review
    IBM
    In our case, it is well-suited for workday integration, which allows us to automate the entire workflow. However, we are still working on the O9 platform integration, which we feel is less appropriate, and integrating the workflow into the platform.
    Read full review
    Pros
    Google
    • Great at back-and-forth dialogue with the caller
    • Integration with existing contact center plattforms
    • Using the same flow for voice and chat seamlessly
    • Very customizable
    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
    • Some of the features are still in beta phase.
    • The languages available are still limited.
    • The advanced features may not be accessible to new users.
    Incentivized
    Read full review
    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
    Read full review
    Likelihood to Renew
    Google
    No answers on this topic
    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
    Read full review
    Usability
    Google
    Users benefit from Dialogflow's best User Interface and seamless User Experience. It's very scalable, and there are a lot of customization options to make it even more so. Dialogflow makes it simple to deploy, manage, and maintain chatbots. Artificial Intelligence algorithms make chatbots interactive, making it easier for users and chatbots to communicate and understand each other. Overall, it's a good option for those with little programming experience who want to learn Natural Language Processing.
    Read full review
    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
    Dialogflow is a wonderful tool that is helping to design customized chatbots. I personally recommend if you wanna know how it's works give it a try with a free APIs call, you'll love this tool
    Incentivized
    Read full review
    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
    Read full review
    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
    There is always use cases for both. We still use the other plattforms but each has its own strengths and weaknesses. We, as a contact center implementation partner always use multiple solutions both for ourselves but also for our customers to meet their needs. In the cases we choose Google Cloud Dialogflow is when we need to be able to handle specific follow-up questions from the customer. And for more complicated issues we also use a combination of this and other 3rd party plattforms. We always meet the need of our customers and as specialist and consultants we give expert advice on how to use all these different solutions in the best way possible.
    Incentivized
    Read full review
    IBM
    Make has more community of workflows to follow that have been redeveloped and are available for download. Selecting WxO is based on our trust level with IBM and the propositions of the Granite model being less biased, more business trained, and the ecosystem allowing for expansion with Assistant and Discovery.
    Incentivized
    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
    Read full review
    Return on Investment
    Google
    • As a partner to multiple contact center plattforms we have always been able to offer Google Cloud Dialogflow along with them because it integrates well with all.
    • Many businesses want to implement smart ways to have call deflection. Bots that can handle full dialogues with the customer is very intriguing to them because it can fulfill customers requests without using up as many resources
    Incentivized
    Read full review
    IBM
    • By automating tasks that would otherwise require human intervention, organizations may achieve cost savings in terms of labor, especially for handling large volumes of routine inquiries.
    • Virtual assistants can handle a large number of simultaneous interactions, making them scalable to accommodate growing customer bases and increasing workloads without a linear increase in staffing.
    Incentivized
    Read full review
    ScreenShots