Amazon Lex vs Dialogflow

Overview

Amazon Lex

Stacks97

Followers297

Votes20

Dialogflow

Stacks267

Followers667

Votes42

Amazon Lex vs Dialogflow: What are the differences?

Both Amazon Lex and Dialogflow are popular conversational AI platforms that provide natural language processing capabilities. Let's discuss the key differences between Amazon Lex and Dialogflow.

Pricing Model: Amazon Lex follows a pay-per-use pricing model, where customers are charged based on the number of requests made for conversation and speech recognition. On the other hand, Dialogflow provides a tiered pricing model, offering free access to a certain number of requests and then charging for additional usage based on the tier selected.
Platform Integration: Amazon Lex is tightly integrated with other Amazon Web Services (AWS) products, allowing seamless integration with AWS Lambda for custom business logic and AWS Cognito for user authentication. Dialogflow, on the other hand, provides integration with a wide range of platforms including Google Cloud Platform, webhooks, and various messaging platforms such as Facebook Messenger and Slack.
Language Support: While both platforms offer support for multiple languages, Dialogflow supports a broader range of languages compared to Amazon Lex. Dialogflow supports more than 30 languages, while Amazon Lex currently supports only 7 languages.
Machine Learning Capabilities: Amazon Lex and Dialogflow have different approaches to machine learning capabilities. Amazon Lex provides pre-built models for certain domains like banking, booking, and information gathering, making it easier to develop chatbots in those domains. Dialogflow, on the other hand, offers a more flexible machine learning approach with built-in intents and entities, allowing developers to build custom models tailored to their specific use cases.
Development Environment: Amazon Lex provides a native web-based graphical user interface (GUI) for designing and building conversational interfaces. On the other hand, Dialogflow offers a more extensive development environment with a web-based GUI, command-line interface (CLI), and a rich set of APIs, providing more flexibility to developers.
Natural Language Understanding (NLU): Dialogflow is known for its advanced natural language understanding (NLU) capabilities, including support for entity recognition, sentiment analysis, and context handling. Amazon Lex also provides basic NLU features but is not as feature-rich as Dialogflow in terms of NLU capabilities.

In summary, Amazon Lex is a part of the AWS ecosystem and integrates seamlessly with other Amazon services, Dialogflow, developed by Google, offers a user-friendly environment with robust support for multiple platforms and a wide range of pre-built integrations.

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Advice on Amazon Lex, 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

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Detailed Comparison

Amazon Lex	Dialogflow
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.	Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
High quality speech recognition and natural language understanding; Multi-turn conversations; Context management; Utility prompts; Integration with AWS Lambda; Connect to enterprise systems; Powerful lifecycle management capabilities; One-click deployment to multiple platforms	-
Statistics
Stacks 97	Stacks 267
Followers 297	Followers 667
Votes 20	Votes 42
Pros & Cons
Pros 9 Easy console 6 Built in chat to test your model 2 Easy integration 2 Great voice 1 Pay-as-you-go Cons 6 English only	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
AWS Lambda Amazon Polly	No integrations available

What are some alternatives to Amazon Lex, 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.

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.

Azure Bot Service

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.

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

Amazon Lex vs Dialogflow: What are the differences?

Both Amazon Lex and Dialogflow are popular conversational AI platforms that provide natural language processing capabilities. Let's discuss the key differences between Amazon Lex and Dialogflow.

Pricing Model: Amazon Lex follows a pay-per-use pricing model, where customers are charged based on the number of requests made for conversation and speech recognition. On the other hand, Dialogflow provides a tiered pricing model, offering free access to a certain number of requests and then charging for additional usage based on the tier selected.
Platform Integration: Amazon Lex is tightly integrated with other Amazon Web Services (AWS) products, allowing seamless integration with AWS Lambda for custom business logic and AWS Cognito for user authentication. Dialogflow, on the other hand, provides integration with a wide range of platforms including Google Cloud Platform, webhooks, and various messaging platforms such as Facebook Messenger and Slack.
Language Support: While both platforms offer support for multiple languages, Dialogflow supports a broader range of languages compared to Amazon Lex. Dialogflow supports more than 30 languages, while Amazon Lex currently supports only 7 languages.
Machine Learning Capabilities: Amazon Lex and Dialogflow have different approaches to machine learning capabilities. Amazon Lex provides pre-built models for certain domains like banking, booking, and information gathering, making it easier to develop chatbots in those domains. Dialogflow, on the other hand, offers a more flexible machine learning approach with built-in intents and entities, allowing developers to build custom models tailored to their specific use cases.
Development Environment: Amazon Lex provides a native web-based graphical user interface (GUI) for designing and building conversational interfaces. On the other hand, Dialogflow offers a more extensive development environment with a web-based GUI, command-line interface (CLI), and a rich set of APIs, providing more flexibility to developers.
Natural Language Understanding (NLU): Dialogflow is known for its advanced natural language understanding (NLU) capabilities, including support for entity recognition, sentiment analysis, and context handling. Amazon Lex also provides basic NLU features but is not as feature-rich as Dialogflow in terms of NLU capabilities.

Amazon Lex vs Dialogflow

Overview