Compare Clarifai and Hive Data 
At a Glance
Market Segments
Small-Business (59.3% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
Free 1000 operations
No pricing available
Clarifai
Star Rating
(59)4.3 out of 5
Market Segments
Small-Business (59.3% of reviews)
Entry-Level Pricing
Free 1000 operations
Free Trial is available
Browse all 4 pricing plansHive Data
Star Rating
(10)4.4 out of 5
Market Segments
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Hive DataSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Clarifai excels in its Object Detection capabilities, scoring 9.0, which reviewers mention provides highly accurate results for various applications, making it a preferred choice for businesses focused on visual recognition tasks.
- Reviewers mention that Hive Data shines in Ease of Use with a score of 8.9, indicating that its user-friendly interface allows for quicker onboarding and less training time for new users, which is particularly beneficial for small teams.
- G2 users highlight that Clarifai's Human-in-the-Loop feature, scoring 7.9, could be improved, as some users feel it lacks the flexibility needed for complex projects, whereas Hive Data's approach to Model Training with a score of 9.2 is praised for its robustness and adaptability.
- Users on G2 report that Hive Data's Quality of Support is exceptional, with a score of 9.0, noting that the support team is responsive and knowledgeable, which contrasts with Clarifai's score of 8.3, where some users feel there is room for improvement in response times.
- Reviewers mention that Clarifai's AI Inference Speed is impressive, scoring 9.1, which is crucial for real-time applications, while Hive Data's performance in this area is also strong but slightly lower, leading some users to prefer Clarifai for time-sensitive projects.
- Users say that both platforms offer strong Integration capabilities, but Hive Data's score of 8.5 in AI API Support and Flexibility is noted as a standout feature, allowing for easier integration into existing workflows compared to Clarifai's offerings.
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Pricing
Entry-Level Pricing
Clarifai
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
Hive Data
No pricing availableFree Trial
Clarifai
Free Trial is available
Hive Data
No trial information availableRatings
Meets Requirements
8.2
52
8.1
9
Ease of Use
8.3
52
8.9
9
Ease of Setup
8.0
29
8.7
5
Ease of Admin
8.8
20
9.0
5
Quality of Support
8.3
43
9.0
8
Has the product been a good partner in doing business?
8.5
18
8.6
6
Product Direction (% positive)
8.1
48
10.0
7
Features by Category
System
8.4
15
Not enough data
8.3
14
Not enough data
8.8
14
Not enough data
Model Development
8.8
16
Not enough data
7.6
16
Not enough data
9.2
16
Not enough data
8.4
16
Not enough data
Model Development
9.3
15
Not enough data
9.2
14
Not enough data
8.8
14
Not enough data
Machine/Deep Learning Services
8.6
16
Not enough data
9.0
14
Not enough data
8.7
14
Not enough data
8.3
15
Not enough data
Machine/Deep Learning Services
8.8
15
Not enough data
8.7
14
Not enough data
8.7
14
Not enough data
8.6
14
Not enough data
Deployment
8.3
15
Not enough data
8.0
15
Not enough data
8.1
13
Not enough data
Deployment
8.2
14
Not enough data
8.6
14
Not enough data
8.3
13
Not enough data
Generative AI
9.0
13
Not enough data
8.8
13
Not enough data
8.6
13
Not enough data
Quality
8.3
12
Not enough data
8.9
12
Not enough data
8.9
12
Not enough data
8.1
12
Not enough data
Automation
7.9
12
Not enough data
7.8
12
Not enough data
Image Annotation
7.9
11
Not enough data
8.3
12
Not enough data
8.3
11
Not enough data
8.3
11
Not enough data
Natural Language Annotation
7.9
11
Not enough data
8.1
9
Not enough data
7.8
9
Not enough data
Speech Annotation
7.3
8
Not enough data
7.7
8
Not enough data
Recognition Type
8.2
11
Not enough data
9.0
14
Not enough data
8.7
13
Not enough data
7.7
11
Not enough data
8.0
11
Not enough data
7.9
12
Not enough data
8.2
10
Not enough data
7.9
12
Not enough data
Facial Recognition
8.5
12
Not enough data
7.6
11
Not enough data
Labeling
8.3
11
Not enough data
8.6
11
Not enough data
9.2
12
Not enough data
Deployment
8.6
12
Not enough data
Scalability and Performance - Generative AI Infrastructure
8.7
18
Not enough data
8.3
17
Not enough data
9.1
17
Not enough data
Cost and Efficiency - Generative AI Infrastructure
8.1
18
Not enough data
8.4
16
Not enough data
Feature Not Available
Not enough data
Integration and Extensibility - Generative AI Infrastructure
8.6
15
Not enough data
8.3
16
Not enough data
8.6
17
Not enough data
Security and Compliance - Generative AI Infrastructure
8.9
15
Not enough data
8.7
15
Not enough data
Feature Not Available
Not enough data
Usability and Support - Generative AI Infrastructure
8.2
16
Not enough data
Feature Not Available
Not enough data
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
Categories
Categories
Shared Categories
Clarifai and Hive Data are categorized as Data Labeling
Unique Categories
Clarifai is categorized as Generative AI Infrastructure, Data Science and Machine Learning Platforms, Image Recognition, Machine Learning, Large Language Model Operationalization (LLMOps), and Emotion AI
Hive Data has no unique categories
Reviews
Reviewers' Company Size
Clarifai
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Hive Data
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
Computer Software
20.3%
Information Technology and Services
10.2%
Higher Education
8.5%
Education Management
5.1%
Online Media
3.4%
Other
52.5%
Information Technology and Services
20.0%
Computer Software
20.0%
Telecommunications
10.0%
Management Consulting
10.0%
Hospitality
10.0%
Other
30.0%
Most Helpful Reviews
Clarifai
Most Helpful Favorable Review
ficky a.
Verified User in Computer Software
Connect to GPT4 and providing coding for developer
Most Helpful Critical Review
Verified User in Entertainment
I dislike that it is not non-techie friendly. My first experience on their website I was completely lost and didn't quite grasp their documentation. I had to use AI to breakdown terminology into simple terms.
Hive Data
Most Helpful Favorable Review
ADARSH S.
Verified User in Information Technology and Services
It has a great feature to manage the data and build AI solutions on top of it.
Most Helpful Critical Review
ficky a.
Verified User in Computer Software
Connect to GPT4 and providing coding for developer
ADARSH S.
Verified User in Information Technology and Services
It has a great feature to manage the data and build AI solutions on top of it.
Verified User in Entertainment
I dislike that it is not non-techie friendly. My first experience on their website I was completely lost and didn't quite grasp their documentation. I had to use AI to breakdown terminology into simple terms.
Alternatives
Discussions
Clarifai has no discussions with answers
Hive Data has no discussions with answers
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