Azure Bot Service vs Dialogflow vs QnA Maker

Overview

Azure Bot Service

Stacks49

Followers163

Votes6

QnA Maker

Stacks23

Followers71

Votes0

Dialogflow

Stacks267

Followers667

Votes42

Azure Bot Service vs Dialogflow vs QnA Maker: What are the differences?

< Azure Bot Service, Dialogflow, and QnA Maker are popular tools for creating conversational experiences. Below are the key differences between Azure Bot Service, Dialogflow, and QnA Maker. >

Programming Languages: Azure Bot Service allows developers to build bots using C# and Node.js, while Dialogflow supports multiple programming languages such as Python, Java, and C#. QnA Maker, on the other hand, does not require any programming language knowledge, making it easy for non-technical users to create Q&A bots.
Integration with Azure Services: Azure Bot Service seamlessly integrates with other Azure services like Cognitive Services, Language Understanding Intelligent Service (LUIS), and Azure Functions. Dialogflow does not provide built-in integration with Azure services but offers integration with Google Cloud services. QnA Maker also offers integration with Azure services, making it a suitable choice for users already using Azure.
NLP Capabilities: Dialogflow is known for its robust natural language processing (NLP) capabilities, making it capable of handling complex user inputs and intents. Azure Bot Service incorporates LUIS for NLP tasks, providing similar capabilities to Dialogflow. QnA Maker, being a Q&A focused tool, has limited NLP capabilities compared to the other two services.
Pricing Model: Azure Bot Service follows a pay-as-you-go model, where users are charged based on the resources used. Dialogflow also has a pay-as-you-go pricing model but offers a free tier with limited features. QnA Maker, being a part of Azure Cognitive Services, has a pricing model based on the number of transactions and does not offer a free tier.
Customization and Flexibility: Azure Bot Service provides more customization options through Azure Bot Framework, allowing developers to create highly tailored conversational experiences. Dialogflow offers a user-friendly interface with built-in features for creating conversational interfaces quickly. QnA Maker focuses on simplicity and ease of use, limiting the customization options available compared to the other services.
Deployment Options: Azure Bot Service offers deployment options on Azure, allowing users to host their bots on Azure services. Dialogflow allows deployment on Google Cloud, and other platforms via webhook integrations. QnA Maker also allows deployment on Azure, making it suitable for users preferring Azure services.

In Summary, Azure Bot Service, Dialogflow, and QnA Maker differ in their programming languages, integration options, NLP capabilities, pricing models, customization flexibility, and deployment options.

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Advice on Azure Bot Service, QnA Maker, Dialogflow

Stefan

Jul 17, 2020

Needs advice

Hi, does anyone have recommendations for a chatbot framework? I am currently using Botpress, and I am not happy with it. The upside is: They pretty much have everything you can ask for in a bot solution, but the issue is: They did nothing right, the documentation is terrible, and you have this feeling of it falling apart at any time, which is what actually happened once.

My ideal solution would have:

Support for Messenger and web (should either have a website chat plugin or straightforward integration with a different one)
A visual builder (for none tech team members) | This is not a hard requirement though
A slick DX for building simple things like API calls or more advanced stuff.
We currently only have a "click bot," so no crazy NLP features required, but in the future a requirement

What I do not want:

I do not want a solution where "someone else" builds the bot for me

59.9k views59.9k

Comments

Detailed Comparison

Azure Bot Service	QnA Maker	Dialogflow
The Azure Bot Service provides an integrated environment that is purpose-built for bot development, enabling you to build, connect, test, deploy, and manage bots, all from one place.	Compatible across development platforms, hosting services, and channels, QnA Maker is the only question and answer service with a graphical user interface—meaning you don’t need to be a developer to train, manage, and use it for a wide range of solutions.	Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
Statistics
Stacks 49	Stacks 23	Stacks 267
Followers 163	Followers 71	Followers 667
Votes 6	Votes 0	Votes 42
Pros & Cons
Pros 4 Custom wake word support 1 Standalone Bot Composer and Emulator 1 Multiple Languaje Platform	No community feedback yet	Pros 18 Built-in conversational agents 7 Custom Webhooks 5 Great interface 5 Multi Lingual 4 OOTB integrations Cons 9 Multi lingual 2 Can’t be self-hosted
Integrations
GitHub Microsoft Azure Azure DevOps Bitbucket Slack Azure Functions Twilio Kik Bot Telegram Bot API Microsoft Teams	Microsoft Bot Framework	No integrations available

What are some alternatives to Azure Bot Service, QnA Maker, Dialogflow?

Engati

It is a free chatbot platform to build bots quickly without any coding required. It allows you to build, manage, integrate, train, analyse and publish your personalized bot in a matter of minutes.

Telegram Bot API

Bots are third-party applications that run inside Telegram. Users can interact with bots by sending them messages, commands and inline requests. You control your bots using HTTPS requests to our bot API.

Botpress

Botpress is an open-source bot creation tool written in TypeScript. It is powered by a rich set of open-source modules built by the community. We like to say that Botpress is like the WordPress of bots; anyone can create and reuse other peo

Microsoft Bot Framework

The Microsoft Bot Framework provides just what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services.

Amazon Lex

Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.

Chatfuel

Send news, collect feedback, receive and answer questions and share content libraries — from GIFs to full business docs.

Flow XO

Everything you need to create and manage bots. Build powerful bots without code, bots work seamlessly across platforms, and we host, manage & scale your bots.

IBM Watson

It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine.

Wit.ai

Iti is an API that makes it very easy for developers to create applications or devices that you can talk to. Any app, or any device, like a smart watch, Google Glass, Nest, even a car, can stream audio to the Wit API, and get actionable data in return. We turn speech into actions. Think Twilio for Natural Language, with Stripe-level developer friendliness.

Gupshup

Build interactive services and messaging bots for any messaging channel using our REST APIs. Most of the APIs are common across channels, while a few are channel-specific, due to differences in channel formats. Our APIs support both plain-text messaging as well as smart-messaging formats.

Related Comparisons

Azure Bot Service vs Dialogflow vs QnA Maker: What are the differences?

< Azure Bot Service, Dialogflow, and QnA Maker are popular tools for creating conversational experiences. Below are the key differences between Azure Bot Service, Dialogflow, and QnA Maker. >

Programming Languages: Azure Bot Service allows developers to build bots using C# and Node.js, while Dialogflow supports multiple programming languages such as Python, Java, and C#. QnA Maker, on the other hand, does not require any programming language knowledge, making it easy for non-technical users to create Q&A bots.
Integration with Azure Services: Azure Bot Service seamlessly integrates with other Azure services like Cognitive Services, Language Understanding Intelligent Service (LUIS), and Azure Functions. Dialogflow does not provide built-in integration with Azure services but offers integration with Google Cloud services. QnA Maker also offers integration with Azure services, making it a suitable choice for users already using Azure.
NLP Capabilities: Dialogflow is known for its robust natural language processing (NLP) capabilities, making it capable of handling complex user inputs and intents. Azure Bot Service incorporates LUIS for NLP tasks, providing similar capabilities to Dialogflow. QnA Maker, being a Q&A focused tool, has limited NLP capabilities compared to the other two services.
Pricing Model: Azure Bot Service follows a pay-as-you-go model, where users are charged based on the resources used. Dialogflow also has a pay-as-you-go pricing model but offers a free tier with limited features. QnA Maker, being a part of Azure Cognitive Services, has a pricing model based on the number of transactions and does not offer a free tier.
Customization and Flexibility: Azure Bot Service provides more customization options through Azure Bot Framework, allowing developers to create highly tailored conversational experiences. Dialogflow offers a user-friendly interface with built-in features for creating conversational interfaces quickly. QnA Maker focuses on simplicity and ease of use, limiting the customization options available compared to the other services.
Deployment Options: Azure Bot Service offers deployment options on Azure, allowing users to host their bots on Azure services. Dialogflow allows deployment on Google Cloud, and other platforms via webhook integrations. QnA Maker also allows deployment on Azure, making it suitable for users preferring Azure services.

Azure Bot Service vs Dialogflow vs QnA Maker

Overview