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Compare Amazon Sagemaker Ground Truth and Clarifai 
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At a Glance
Market Segments
Small-Business (36.8% of reviews)
Small-Business (61.5% of reviews)
Entry-Level Pricing
No pricing available
Free 1000 operations
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 TruthClarifai
Star Rating
(65)4.3 out of 5
Market Segments
Small-Business (61.5% of reviews)
Pros & Cons
Entry-Level Pricing
Free 1000 operations
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Clarifai excels in its Drag and Drop feature, scoring an impressive 8.8, which makes it highly user-friendly for those who may not have extensive technical skills. In contrast, Amazon Sagemaker Ground Truth's Drag and Drop functionality received a lower score of 7.6, indicating it may not be as intuitive for users.
- Reviewers mention that Amazon Sagemaker Ground Truth shines in Quality of Support, with a score of 9.6, which is significantly higher than Clarifai's 8.3. This suggests that users may find more reliable assistance and resources when using Sagemaker.
- G2 users highlight that Clarifai's Custom Image Detection feature is particularly strong, achieving a score of 9.1, which allows for tailored solutions in image recognition tasks. Conversely, Amazon Sagemaker Ground Truth does not have a comparable feature that stands out in the same way.
- Users on G2 report that Amazon Sagemaker Ground Truth offers superior Model Training capabilities, scoring 9.2 compared to Clarifai's 8.4. This indicates that Sagemaker may provide a more robust environment for developing and refining machine learning models.
- Reviewers say that Clarifai's AI Inference Speed is rated at 9.1, which is a significant advantage for users needing quick results from their AI models. In contrast, Sagemaker's performance in this area is not highlighted as strongly, suggesting it may not be as fast in delivering inference results.
- Users report that both platforms have strong AI GDPR and Regulatory Compliance scores, with Clarifai at 8.8 and Sagemaker at 8.8 as well. However, users mention that Sagemaker's additional features for compliance management may provide an edge for businesses with stringent regulatory needs.
Pricing
Entry-Level Pricing
Amazon Sagemaker Ground Truth
No pricing availableClarifai
Clarifai Community
Free
1000 operations
We offer a free version of our platform for our community to discover, develop and share models, workflows, and datasets.
- Access to 100s of models from Clarifai, Facebook, Google, Hugging Face, Microsoft, Princeton NLP, Salesforce
- Easy UI with a “drag-n-drop” workflow graph editor
- Access to community shared workflows, datasets, and apps
Free Trial
Amazon Sagemaker Ground Truth
No trial information availableClarifai
Free Trial is available
Ratings
Meets Requirements
8.2
13
8.2
58
Ease of Use
8.3
13
8.2
58
Ease of Setup
7.3
10
7.7
35
Ease of Admin
8.2
11
8.8
20
Quality of Support
9.6
13
8.1
49
Has the product been a good partner in doing business?
8.5
10
8.5
18
Product Direction (% positive)
8.9
11
7.8
53
Features by Category
System
Not enough data
8.4
17
Model Development
Not enough data
8.7
18
Not enough data
7.8
18
Not enough data
9.2
18
Not enough data
8.4
18
Model Development
Not enough data
8.8
15
Machine/Deep Learning Services
Not enough data
8.7
18
Not enough data
9.1
16
Not enough data
8.4
16
Not enough data
8.4
17
Machine/Deep Learning Services
Not enough data
8.8
16
Not enough data
8.5
16
Deployment
Not enough data
8.2
17
Not enough data
8.0
17
Not enough data
8.0
15
Generative AI
Not enough data
8.8
15
Not enough data
8.7
15
Not enough data
8.3
15
Agentic AI - Data Science and Machine Learning 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
Not enough data
Not enough data
Not enough data
Not enough data
Quality
Not enough data
8.3
13
Not enough data
8.7
13
Not enough data
8.9
12
Not enough data
8.1
12
Automation
Not enough data
7.9
12
Not enough data
7.8
12
Image Annotation
Not enough data
7.9
11
Not enough data
8.3
12
Not enough data
8.3
11
Not enough data
8.3
11
Natural Language Annotation
Not enough data
7.9
11
Not enough data
8.1
9
Not enough data
7.8
9
Speech Annotation
Not enough data
7.3
8
Not enough data
7.7
8
Recognition Type
Not enough data
8.3
12
Not enough data
9.1
15
Not enough data
8.7
14
Not enough data
7.6
12
Not enough data
8.1
12
Not enough data
7.8
13
Not enough data
8.2
11
Not enough data
7.9
13
Facial Recognition
Not enough data
8.5
13
Not enough data
7.8
12
Labeling
Not enough data
8.3
12
Not enough data
8.6
12
Not enough data
9.1
13
Deployment
Not enough data
8.6
13
Scalability and Performance - Generative AI Infrastructure
Not enough data
8.4
22
Not enough data
8.1
21
Not enough data
9.0
21
Cost and Efficiency - Generative AI Infrastructure
Not enough data
7.9
22
Not enough data
8.4
20
Not enough data
Feature Not Available
Integration and Extensibility - Generative AI Infrastructure
Not enough data
8.1
19
Not enough data
7.9
20
Not enough data
8.5
21
Security and Compliance - Generative AI Infrastructure
Not enough data
8.8
19
Not enough data
8.5
19
Not enough data
Feature Not Available
Usability and Support - Generative AI Infrastructure
Not enough data
7.9
20
Not enough data
Feature Not Available
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Usability - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security & Compliance - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Features - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Detection Features - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Amazon Sagemaker Ground Truth and Clarifai are categorized as Data Labeling
Unique Categories
Amazon Sagemaker Ground Truth has no unique categories
Reviews
Reviewers' Company Size
Amazon Sagemaker Ground Truth
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Clarifai
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
23.1%
Information Technology and Services
12.3%
Higher Education
9.2%
Education Management
4.6%
Online Media
3.1%
Other
47.7%
Alternatives
Discussions
Amazon Sagemaker Ground Truth has no discussions with answers
Clarifai has no discussions with answers
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