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Compare Amazon Comprehend and IBM Watson Natural Language Understanding 
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At a Glance
Market Segments
Small-Business (38.6% of reviews)
Small-Business (58.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon Comprehend
Star Rating
(71)4.2 out of 5
Market Segments
Small-Business (38.6% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Amazon ComprehendIBM Watson Natural Language Understanding
Star Rating
(34)4.2 out of 5
Market Segments
Small-Business (58.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Watson Natural Language UnderstandingSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon Comprehend excels in Named Entity Recognition with a score of 8.4, while IBM Watson Natural Language Understanding falls short with a score of 6.5. Reviewers mention that Amazon's ability to accurately identify entities in text is a significant advantage for businesses needing precise data extraction.
- Reviewers say that Amazon Comprehend's Sentiment Analysis feature is rated at 8.5, outperforming IBM Watson's 7.8. Users on G2 highlight that Comprehend provides more nuanced sentiment insights, which is crucial for understanding customer feedback.
- Users mention that the Customization capabilities of IBM Watson, particularly in Customizable Models with a score of 8.8, are superior to Amazon Comprehend's 7.7. Reviewers appreciate the flexibility in tailoring models to specific business needs, making Watson a better choice for companies requiring bespoke solutions.
- G2 users report that Amazon Comprehend's Ease of Use is rated at 8.6, compared to IBM Watson's 8.1. Users say that the intuitive interface of Comprehend allows for quicker onboarding and less training time, which is a significant factor for small businesses.
- Reviewers mention that Amazon Comprehend's Data Ingestion & Wrangling capabilities score 8.5, while IBM Watson's are lower at 7.0. Users report that Comprehend's tools for handling and preparing data are more robust, facilitating smoother workflows.
- Users on G2 highlight that Amazon Comprehend's Product Direction score of 8.9 indicates a strong commitment to innovation, while IBM Watson boasts a perfect score of 10. Reviewers say that this reflects Watson's ongoing enhancements and responsiveness to user feedback, making it a compelling option for those looking for a forward-thinking solution.
Pricing
Entry-Level Pricing
Amazon Comprehend
No pricing availableIBM Watson Natural Language Understanding
No pricing availableFree Trial
Amazon Comprehend
No trial information availableIBM Watson Natural Language Understanding
No trial information availableRatings
Meets Requirements
8.5
63
8.1
26
Ease of Use
8.6
63
8.1
27
Ease of Setup
7.8
19
7.8
20
Ease of Admin
8.1
18
7.2
20
Quality of Support
8.4
55
7.7
24
Has the product been a good partner in doing business?
8.1
18
8.6
20
Product Direction (% positive)
8.9
61
10.0
26
Features by Category
Algorithm
8.7
26
Not enough data
8.6
25
Not enough data
8.4
26
Not enough data
8.5
23
Not enough data
8.2
24
Not enough data
8.3
27
Not enough data
System
8.5
26
Not enough data
8.1
28
Not enough data
8.1
24
Not enough data
8.2
25
Not enough data
7.7
23
Not enough data
Setup
8.7
26
Not enough data
8.6
26
Not enough data
7.6
23
Not enough data
Data
8.5
24
Not enough data
8.1
25
Not enough data
Analysis
8.0
26
Not enough data
8.3
24
Not enough data
8.8
24
Not enough data
9.0
24
Not enough data
8.7
23
Not enough data
8.1
24
Not enough data
8.3
23
Not enough data
Customization
8.2
25
Not enough data
7.9
22
Not enough data
8.5
21
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Natural Language Processing (NLP) PlatformsHide 16 FeaturesShow 16 Features
Not enough data
Not enough data
Model Customization - Natural Language Processing (NLP) Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scalability and Performance - Natural Language Processing (NLP) Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Deployment - Natural Language Processing (NLP) Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Preparation and Labeling - Natural Language Processing (NLP) Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring and Maintenance - Natural Language Processing (NLP) Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Amazon Comprehend and IBM Watson Natural Language Understanding are categorized as Text Analysis
Unique Categories
Amazon Comprehend is categorized as Natural Language Understanding (NLU)
IBM Watson Natural Language Understanding is categorized as Natural Language Processing (NLP) Platforms
Reviews
Reviewers' Company Size
Amazon Comprehend
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Watson Natural Language Understanding
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
18.6%
Computer Software
12.9%
Retail
7.1%
Financial Services
7.1%
Marketing and Advertising
5.7%
Other
48.6%
Information Technology and Services
25.8%
Computer Software
12.9%
Telecommunications
6.5%
Marketing and Advertising
6.5%
Hospital & Health Care
6.5%
Other
41.9%
Alternatives
Discussions
How can increase sell
3 Comments
KU
making ad's videos and posting them on youtube to help get customersRead more
Amazon Comprehend has no more discussions with answers
IBM Watson Natural Language Understanding has no discussions with answers
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