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Compare Amazon Sagemaker Ground Truth and Datasaur 
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At a Glance
Market Segments
Small-Business (36.8% of reviews)
Mid-Market (48.3% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
Amazon Sagemaker Ground Truth
Star Rating
(19)4.1 out of 5
Market Segments
Small-Business (36.8% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Amazon Sagemaker Ground TruthDatasaur
Star Rating
(29)4.5 out of 5
Market Segments
Mid-Market (48.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DatasaurSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon Sagemaker Ground Truth excels in "Quality of Support" with a score of 9.6, indicating that users find the support team highly responsive and helpful, while Datasaur, with a score of 8.8, is noted for good support but not as exceptional.
- Reviewers mention that Datasaur shines in "Ease of Use" with a score of 9.3, making it more user-friendly for those new to data labeling, whereas Amazon Sagemaker Ground Truth has a slightly lower score of 8.3, suggesting a steeper learning curve for some users.
- G2 users highlight that Amazon Sagemaker Ground Truth offers robust "Machine Learning Pre-Labeling" features with a score of 8.9, which helps streamline the labeling process, while Datasaur's automation features, though good, do not match this level of sophistication.
- Users on G2 report that Datasaur's "Natural Language Annotation" capabilities, particularly in "Named Entity Recognition" and "Sentiment Detection," are rated highly at 8.9 and 8.8 respectively, showcasing its strength in handling text data compared to Amazon Sagemaker Ground Truth's more generalized approach.
- Reviewers say that Amazon Sagemaker Ground Truth's "Human-in-the-Loop" feature, rated at 8.6, is beneficial for maintaining high-quality outputs, but Datasaur's overall task quality rating of 8.9 suggests it may provide a more consistent experience across various tasks.
- Users report that while both platforms offer "Image Annotation" capabilities, Amazon Sagemaker Ground Truth's "Object Tracking" feature, rated at 9.0, is particularly praised for its effectiveness, whereas Datasaur's offerings in this area are seen as less comprehensive.
Pricing
Entry-Level Pricing
Amazon Sagemaker Ground Truth
No pricing availableDatasaur
No pricing availableFree Trial
Amazon Sagemaker Ground Truth
No trial information availableDatasaur
No trial information availableRatings
Meets Requirements
8.2
13
8.9
19
Ease of Use
8.3
13
9.3
19
Ease of Setup
7.3
10
8.3
5
Ease of Admin
8.2
11
9.3
5
Quality of Support
9.6
13
8.8
19
Has the product been a good partner in doing business?
8.5
10
9.0
5
Product Direction (% positive)
8.9
11
9.3
17
Features by Category
Quality
Not enough data
8.9
15
Not enough data
8.8
15
Not enough data
9.0
15
Not enough data
8.5
14
Automation
Not enough data
8.8
15
Not enough data
8.6
15
Image Annotation
Not enough data
8.8
14
Not enough data
8.2
14
Not enough data
9.0
13
Not enough data
8.3
14
Natural Language Annotation
Not enough data
8.8
14
Not enough data
8.7
13
Not enough data
8.9
14
Speech Annotation
Not enough data
9.2
14
Not enough data
8.8
14
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 Sagemaker Ground Truth and Datasaur are categorized as Data Labeling
Unique Categories
Amazon Sagemaker Ground Truth has no unique categories
Datasaur is categorized as Natural Language Processing (NLP) Platforms
Reviews
Reviewers' Company Size
Amazon Sagemaker Ground Truth
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Datasaur
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
26.3%
Computer Software
21.1%
Education Management
10.5%
Medical Practice
5.3%
Market Research
5.3%
Other
31.6%
Computer Software
27.6%
Information Technology and Services
13.8%
Marketing and Advertising
6.9%
Higher Education
6.9%
Accounting
6.9%
Other
37.9%
Discussions
Amazon Sagemaker Ground Truth has no discussions with answers
Datasaur has no discussions with answers
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