Amazon Lex vs Microsoft Azure Language Understanding comparison

Cancel
You must select at least 2 products to compare!
Amazon Web Services (AWS) Logo
3,843 views|2,573 comparisons
100% willing to recommend
Microsoft Logo
2,131 views|1,874 comparisons
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "The platform itself costs us less than $5000 annually and is taking care of 1 million requests from end-users."
  • More Amazon Lex Pricing and Cost Advice →

    Information Not Available
    Ranking
    Views
    3,843
    Comparisons
    2,573
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Views
    2,131
    Comparisons
    1,874
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Microsoft Azure LUIS, Azure LUIS, Azure Language Understanding, MS Azure Language Understanding
    Learn More
    Overview

    Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon 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. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”).

    Speech recognition and natural language understanding are some of the most challenging problems to solve in computer science, requiring sophisticated deep learning algorithms to be trained on massive amounts of data and infrastructure. Amazon Lex democratizes these deep learning technologies by putting the power of Amazon Alexa within reach of all developers. Harnessing these technologies, Amazon Lex enables you to define entirely new categories of products made possible through conversational interfaces.

    Language Understanding (LUIS) is a cloud-based API service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.

    A client application for LUIS is any conversational application that communicates with a user in natural language to complete a task. Examples of client applications include social media apps, chat bots, and speech-enabled desktop applications.

    Sample Customers
    Ryanair, Electronic Caregiver, HubSpot, Capital One
    Adobe, DriveTime, Johnson Controls, HP, InterContinental Hotels Group, ASOS
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company14%
    Insurance Company9%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm10%
    Manufacturing Company8%
    Comms Service Provider8%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise14%
    Large Enterprise62%

    Amazon Lex is ranked 3rd in Chatbot Development Platforms while Microsoft Azure Language Understanding is ranked 5th in Chatbot Development Platforms. Amazon Lex is rated 9.0, while Microsoft Azure Language Understanding is rated 0.0. The top reviewer of Amazon Lex writes "Extremely stable with great speech recognition and helpful technical support". On the other hand, Amazon Lex is most compared with Google Dialogflow, Salesforce Einstein Bot, Rasa and IBM Watson Assistant, whereas Microsoft Azure Language Understanding is most compared with Google Dialogflow, IBM Watson Assistant, Rasa and Salesforce Einstein Bot.

    See our list of best Chatbot Development Platforms vendors.

    We monitor all Chatbot Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.