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Amazon Lex vs Microsoft Azure Language Understanding comparison

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amazon Lex
Ranking in Chatbot Development Platforms
2nd
Average Rating
8.6
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Microsoft Azure Language Un...
Ranking in Chatbot Development Platforms
4th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2025, in the Chatbot Development Platforms category, the mindshare of Amazon Lex is 18.7%, up from 14.3% compared to the previous year. The mindshare of Microsoft Azure Language Understanding is 9.2%, down from 15.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Chatbot Development Platforms Market Share Distribution
ProductMarket Share (%)
Amazon Lex18.7%
Microsoft Azure Language Understanding9.2%
Other72.1%
Chatbot Development Platforms
 

Featured Reviews

AmandeepSingh2 - PeerSpot reviewer
Enterprise capability integration enhances multi-service conversational AI experiences
The features and capabilities of Amazon Lex that I have found most valuable include its earlier use as a chatbot. Since it is an AWS service, and Amazon Connect is also an AWS service, Amazon Lex is tightly integrated with Amazon Connect. You can create voice bots, which is a recent advancement in Amazon Lex. Earlier, it was used only as a chat system. You can give voice commands that AI will answer, and on fallback, you can transfer the call to an agent. I assess the benefit of integrating Amazon Lex with other AWS services as being very effective. I have integrated Amazon Lex with Amazon Connect as both are AWS services and they both support each other. This is where the unique selling point of AWS comes in. You have the contact center and features up and running. That is why contact centers are moving to AWS from traditional contact centers such as Cisco and Avaya. Integrating artificial intelligence in those traditional contact centers was a painful task. Now they are changing their environment because they have to adapt to AI, but it was difficult to integrate AI in their workflows. However, this is not the case in Amazon Connect.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
9%
Healthcare Company
9%
Manufacturing Company
15%
Financial Services Firm
13%
Computer Software Company
9%
Educational Organization
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What needs improvement with Amazon Lex?
Amazon Lex's utterances could be improved. If a customer does not speak a sentence or word correctly in the utterances, the solution will show an error.
What is your primary use case for Amazon Lex?
Amazon Lex is mainly used for chatbot functionality, and we can chat with the customers as per the requirements they provide with intents and utterances.
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Also Known As

No data available
Microsoft Azure LUIS, Azure LUIS, Azure Language Understanding, MS Azure Language Understanding
 

Overview

 

Sample Customers

Ryanair, Electronic Caregiver, HubSpot, Capital One
Adobe, DriveTime, Johnson Controls, HP, InterContinental Hotels Group, ASOS