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Chatbot – Comparison of platforms

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Table of ContentsWith everyone raging to adopt chatbots in different use cases to aid better customer experience, one of the challenge from a technology is which framework to build the chatbot on? Ofcourse custom and building from scratch is always an option however it would help if the process of development could be bootstrapped with...

Table of Contents


    With everyone raging to adopt chatbots in different use cases to aid better customer experience, one of the challenge from a technology is which framework to build the chatbot on? Ofcourse custom and building from scratch is always an option however it would help if the process of development could be bootstrapped with the help of a platform or a framework that comes with pre-built features. Here is my take on the various chatbot platforms that are available and I will try to keep as much as updated as possible.

    Dimensions Amazon Lex Google DialogFlow IBM Watson Microsoft LUIS
    Ease of Use Uses speech language support similar to NLU Create rich custom UI and communicate using RESTful services via webhooks

    Can be mixed with angular frontend and that provides flexibility

    Complex given it has to fit within the IBM stack of products/suites and standards. No single API and no service to manage the conversation Deployment as HTTP endpoints and ability to converse as JSON is super helpful.

    Natural language support is good similar to the one in powerbi

    Voice Integration with Alexa is good

    Ability to use skillsets from Alexa and mange is super helpful.

    Google Assistant / Home – not as good as alexa Blends with Alexa skills Lacks voice capabilities and is not as good as its peers
    Documentation Basic Basic Basic Basic
    Validation Lambda integration helps Cannot block matches to context from intent Comes with very minimal validation

    Has personality insights which is kinda cool

    Has minimal validation functions
    Prebuilt  AWS interoperability and ability to scale with EC2 instances Has prebuilt entities similar to LUIS Prebuilt models Entities such as location, money, age, date-time
    Pricing $.004 for voice

    $$0.00075 for text

    $0.0065 per 15 second

    $0.002 per request

    The highest price in this category

    0.0025 for text $0.00075 for text
    Platform Integration Support Facebook, Slack, Twilio

    No messenger support

    Microsoft Cortana, Facebook Messenger, Skype, Slack, Telegram, Amazon Alexa, Twitter, Kik, Line, Cisco Spark, Cisco Tropo, Twilio and Twilio IP

    Please note it can talk with Alexa

    Openwhisk, salesforce, swift, unity Facebook, Slack, Twilio, Email, Bing, Cortana to mention a few

    Messenger and Skype support is helpful

    Integrates with Dynamics CRM

    Language Support English English, French, Dutch, Russian, Ukranian, Italian, German, Spanish, Korean, Brazilian Portuguese,Traditional Chinese, Simplified Chinese, Portuguese, Japanese English, Japanese English, French, Italian, German, Spanish, Brazilian Portuguese, Japanese, Korean and Chinese
    Programming Java, JavaScript, Python, CLI, .NET, Ruby on Rails, PHP, Go, and CPP. Android, iOS, Cordova, HTML, JavaScript, Node.js, C#.NET, Unity, Xamarian, C++, Python, Ruby, Java, Espon Moverio, Botkit and PHP Node SDK, Java SDK, Python SDK, iOS SDK, Unity SDK C# SDK, Python SDK, Node JS SDK, Android SDK

    Raj Joseph

    Raj Joseph is the Founder of Intellectyx, a next-generation AI, Data, and Digital Transformation company specializing in Agentic AI, Generative AI, advanced analytics, and enterprise data platforms. With more than two decades of experience in technology leadership, product strategy, and digital innovation, Raj has helped organizations modernize operations, unlock value from data, and accelerate AI adoption across complex business environments. Throughout his career, Raj has led enterprise transformation initiatives spanning data management, business intelligence, analytics, cloud modernization, and AI-driven automation. Under his leadership, Intellectyx has delivered solutions for enterprises, government agencies, and high-growth organizations seeking to operationalize AI and build scalable digital platforms. Raj is a frequent contributor to discussions on Agentic AI, enterprise automation, intelligent data platforms, and the future of AI-powered business operations. His focus is on helping organizations move beyond experimentation and deploy production-ready AI systems that deliver measurable business outcomes.

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