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Compare Amazon Comprehend and Google Cloud AutoML Natural Language 
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At a Glance
Market Segments
Small-Business (38.6% of reviews)
Small-Business (53.3% of reviews)
Pros & Cons
Not enough data
Not enough data
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 ComprehendGoogle Cloud AutoML Natural Language
Star Rating
(15)4.5 out of 5
Market Segments
Small-Business (53.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Google Cloud AutoML Natural LanguageSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon Comprehend excels in its Named Entity Recognition feature, scoring 8.4, which reviewers mention is effective for identifying key entities in text, although Google Cloud AutoML Natural Language offers a slightly lower score of 8.0 in this area.
- Reviewers mention that Google Cloud AutoML Natural Language shines in Sentiment Analysis, achieving a score of 9.4, while Amazon Comprehend scores 8.5, indicating that users find Google’s tool more accurate in gauging sentiment from text.
- G2 users highlight the ease of integration with Amazon Comprehend, scoring 8.7, which reviewers say makes it a user-friendly option for businesses looking to implement natural language processing quickly, compared to Google Cloud AutoML's integration capabilities.
- Users on G2 report that Google Cloud AutoML Natural Language offers superior Text Summarization capabilities, with a score of 9.4, while Amazon Comprehend scores 8.6, suggesting that users find Google’s summarization more effective for condensing information.
- Reviewers mention that Amazon Comprehend's Data Ingestion & Wrangling feature scores 8.5, which is praised for its efficiency, while Google Cloud AutoML Natural Language scores higher at 9.0, indicating a more robust solution for handling data.
- Users say that the Drag and Drop functionality in Google Cloud AutoML Natural Language, scoring 9.3, is a standout feature that enhances usability, whereas Amazon Comprehend's score of 8.1 suggests it may not be as intuitive for users looking for a seamless experience.
Pricing
Entry-Level Pricing
Amazon Comprehend
No pricing availableGoogle Cloud AutoML Natural Language
No pricing availableFree Trial
Amazon Comprehend
No trial information availableGoogle Cloud AutoML Natural Language
No trial information availableRatings
Meets Requirements
8.5
63
9.0
12
Ease of Use
8.6
63
8.5
12
Ease of Setup
7.8
19
Not enough data
Ease of Admin
8.1
18
Not enough data
Quality of Support
8.4
55
8.5
10
Has the product been a good partner in doing business?
8.1
18
Not enough data
Product Direction (% positive)
8.9
61
7.9
11
Features by Category
Algorithm
8.7
26
8.6
6
8.6
25
9.4
6
8.4
26
8.0
5
8.5
23
9.4
6
8.2
24
8.3
5
8.3
27
8.3
5
System
8.5
26
9.0
5
8.1
28
8.3
5
8.1
24
9.3
5
8.2
25
8.3
5
7.7
23
8.3
5
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
Categories
Categories
Shared Categories
Amazon Comprehend and Google Cloud AutoML Natural Language are categorized as Natural Language Understanding (NLU) and Text Analysis
Unique Categories
Amazon Comprehend has no unique categories
Google Cloud AutoML Natural Language has no unique categories
Reviews
Reviewers' Company Size
Amazon Comprehend
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud AutoML Natural Language
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%
Computer & Network Security
13.3%
Architecture & Planning
13.3%
Accounting
13.3%
Telecommunications
6.7%
Oil & Energy
6.7%
Other
46.7%
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
Google Cloud AutoML Natural Language has no more discussions with answers
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