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Compare Amazon Sagemaker Ground Truth and Appen 
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At a Glance
Market Segments
Small-Business (36.8% of reviews)
Small-Business (56.7% of reviews)
Entry-Level Pricing
No pricing available
SaaS subscription pricing dependent on use case and data type
Amazon Sagemaker Ground Truth
Star Rating
(19)4.1 out of 5
Market Segments
Small-Business (36.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amazon Sagemaker Ground TruthAppen
Star Rating
(31)4.1 out of 5
Market Segments
Small-Business (56.7% of reviews)
Entry-Level Pricing
SaaS subscription pricing dependent on use case and data type
Browse all 2 pricing plansSummary
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 Appen's support quality is rated lower at 8.2, suggesting room for improvement in customer service.
- Reviewers mention that Appen shines in "Ease of Setup" with a score of 9.1, making it more user-friendly for new users compared to Amazon Sagemaker Ground Truth, which has a lower score of 7.3, indicating a steeper learning curve for setup.
- G2 users highlight that both products perform well in "Labeler Quality," scoring 8.5 each, but users on G2 note that Amazon Sagemaker Ground Truth offers better "Human-in-the-Loop" capabilities with a score of 8.3, enhancing the quality of data labeling through human oversight.
- Users say that Appen provides superior "Ease of Admin" with a score of 9.5, making it easier for administrators to manage the platform, while Amazon Sagemaker Ground Truth scores 8.2, indicating a more complex administrative experience.
- Reviewers mention that Amazon Sagemaker Ground Truth has a strong feature in "Automatic Routing of Labeling," scoring 9.0, which helps streamline the labeling process, whereas Appen does not have a comparable feature highlighted by users.
- Users report that Appen's "Natural Language Annotation" features, particularly "Named Entity Recognition" and "Sentiment Detection," both score 8.8, showcasing its strength in handling text data, while Amazon Sagemaker Ground Truth's corresponding features are less emphasized in user reviews.
Pricing
Entry-Level Pricing
Amazon Sagemaker Ground Truth
No pricing availableAppen
Appen Data Annotation Platform
SaaS subscription pricing dependent on use case and data type
The industry’s most advanced AI-assisted data annotation platform used to collect and annotate data for training both computer vision and natural language processing AI models.
- Data annotation capabilities that support all data types (text, audio, image, video, sensor) and use cases including search relevance, computer vision, and natural language processing (NLP/Speech).
- Create and launch data annotation jobs easily through our plug and play graphical user interface, or programmatically through our API.
- Smart Labeling capabilities have built-in Machine Learning assistance to save customers time, effort and money - delivering high-quality training data and accelerating the ROI and your AI initiatives.
Free Trial
Amazon Sagemaker Ground Truth
No trial information availableAppen
No trial information availableRatings
Meets Requirements
8.2
13
8.1
27
Ease of Use
8.3
13
8.1
27
Ease of Setup
7.3
10
8.8
11
Ease of Admin
8.2
11
9.2
8
Quality of Support
9.6
13
7.9
26
Has the product been a good partner in doing business?
8.5
10
8.5
8
Product Direction (% positive)
8.9
11
7.7
25
Features by Category
Data Governance
Not enough data
8.3
13
Not enough data
8.2
12
Not enough data
7.8
12
Data Preparation
Not enough data
8.3
13
Not enough data
8.2
13
Not enough data
7.9
12
Not enough data
7.9
12
Collaboration
Not enough data
8.1
12
Not enough data
8.1
13
Not enough data
8.2
11
Not enough data
8.0
11
Artificial Intelligence
Not enough data
8.3
11
Not enough data
7.2
10
Not enough data
7.4
11
Generative AI
Not enough data
7.6
7
Not enough data
8.3
7
Agentic AI - Machine Learning Data Catalog
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
Quality
Not enough data
8.5
11
Not enough data
8.7
10
Not enough data
9.0
10
Not enough data
8.3
9
Automation
Not enough data
8.1
9
Not enough data
8.7
9
Image Annotation
Not enough data
8.3
9
Not enough data
8.7
9
Not enough data
8.3
9
Not enough data
8.8
10
Natural Language Annotation
Not enough data
8.8
8
Not enough data
8.8
8
Not enough data
9.0
8
Speech Annotation
Not enough data
8.8
8
Not enough data
8.7
9
Categories
Categories
Shared Categories
Amazon Sagemaker Ground Truth and Appen are categorized as Data Labeling
Unique Categories
Amazon Sagemaker Ground Truth has no unique categories
Appen is categorized as Machine Learning Data Catalog
Reviews
Reviewers' Company Size
Amazon Sagemaker Ground Truth
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Appen
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%
Information Technology and Services
20.0%
Higher Education
10.0%
Education Management
10.0%
Internet
6.7%
Computer Software
6.7%
Other
46.7%
Discussions
Amazon Sagemaker Ground Truth has no discussions with answers
Appen has no discussions with answers
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