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Azure AI Language vs. IBM Watson Natural Language Understanding

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure AI Language
Score 8.3 out of 10
N/A
Azure AI Language (formerly Azure Cognitive Service for Language) is a managed service to add natural language capabilities, from sentiment analysis and entity extraction to automated question answering. Users can identify key terms and phrases, understand sentiments, and build conversational interfaces into applications. Annotate, train, evaluate, and deploy customizable models without machine-learning expertise.N/A
IBM Watson Natural Language Understanding
Score 9.1 out of 10
N/A
IBM offers Watson Natural Language Understanding, an NLP application supplying interpretation of unstructured textual data and language concept models.N/A
Pricing
Azure AI LanguageIBM Watson Natural Language Understanding
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure AI LanguageIBM Watson Natural Language Understanding
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Azure AI LanguageIBM Watson Natural Language Understanding
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Best Alternatives
Azure AI LanguageIBM Watson Natural Language Understanding
Small Businesses
IBM Watson Studio
IBM Watson Studio
Score 9.6 out of 10
Jupyter Notebook
Jupyter Notebook
Score 9.1 out of 10
Medium-sized Companies
PG Forsta HX Platform
PG Forsta HX Platform
Score 9.0 out of 10
Posit
Posit
Score 9.7 out of 10
Enterprises
PG Forsta HX Platform
PG Forsta HX Platform
Score 9.0 out of 10
Posit
Posit
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure AI LanguageIBM Watson Natural Language Understanding
Likelihood to Recommend
6.5
(2 ratings)
8.0
(1 ratings)
User Testimonials
Azure AI LanguageIBM Watson Natural Language Understanding
Likelihood to Recommend
Microsoft
Best suited for large organizations, availability of usage of more than one language in a specific API call. Moderately suited for small and mid sized organizations as the pricing is on a higher end
Verified User
Anonymous
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IBM
IBM Watson Natural Language Understanding is a Swiss Army knife that can be used in many scenarios. An extensive list of easy to use APIs is provided making it very easy to integrate it in any environment. The text analysis is decent and above market average. It generates results in many forms to suit may scenarios (important keywords, concepts, sentiment analysis, etc.).
Verified User
Anonymous
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Pros
Microsoft
  • The data is pre configured that means the AI models that are used by features are not customizable. One needs to send data and have to use the output of the feature in our application
  • Availability of customizations in order to adjust some specific requirements
  • Availability of Language studio so that one can avoid coding
Verified User
Anonymous
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IBM
  • Easy to use and extensive APIs.
  • Decent accuracy.
  • It recognizes concepts and semantic roles.
Verified User
Anonymous
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Cons
Microsoft
  • The application is hard to use for new users
  • Data Integration is complex in nature
  • For Mid - sized organizations, the pricing is on higher end
Verified User
Anonymous
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IBM
  • Improve Sentiment Analysis accuracy.
  • Prevent having conflicting results (sad and happy, etc.).
  • Foreign names detection.
Verified User
Anonymous
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Alternatives Considered
Microsoft
We haven't used other products. Our experience with Azure, whilst not meeting our needs this time around, was positive, educational and insightful. This was the first time that we had considered using an AI tool to manage and manipulate our data and we were unsure of the capabilities.
Verified User
Anonymous
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IBM
No answers on this topic
Return on Investment
Microsoft
  • Usage of more than one language in one specific API call
  • Question Answering Feature
  • Key Phrase Extraction, hence one need to read the entire phrase to understand the context
Verified User
Anonymous
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IBM
  • Reduced development time.
  • Increased solution efficiency in understanding the user.
  • Increased solution scalability.
Verified User
Anonymous
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ScreenShots