Introducing G2.ai, the future of software buying.Try now
Compare Clarifai and Hive Data 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Roboflow
Visit Website
At a Glance
Market Segments
Small-Business (61.5% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
Free 1000 operations
No pricing available
Clarifai
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 plansHive Data
Star Rating
(10)4.4 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Not enough data
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 Drag and Drop feature, scoring 8.8, which makes it easier for users to manage their data without extensive technical knowledge. In contrast, Hive Data's Drag and Drop scored lower at 7.6, indicating a less intuitive user experience.
- Reviewers mention that Hive Data shines in Quality of Support, achieving a score of 9.0, which suggests that users feel well-supported and valued. Clarifai, while still strong, scored slightly lower at 8.3, indicating room for improvement in customer service.
- G2 users highlight that Clarifai's Pre-Built Algorithms received an impressive score of 9.2, making it a preferred choice for users looking for ready-to-use solutions. Hive Data also performed well with a score of 9.3, but the difference is marginal, suggesting both products are competitive in this area.
- Users on G2 report that Hive Data's AI Inference Speed scored 9.1, which is crucial for applications requiring real-time data processing. Clarifai's score of 8.6 indicates it may not be as fast, potentially impacting performance in time-sensitive scenarios.
- Reviewers mention that Clarifai's Human-in-the-Loop feature scored 7.9, which some users feel could be improved for better accuracy in data labeling. In comparison, Hive Data does not have a specific score for this feature, suggesting it may not emphasize this aspect as much.
- Users say that both products have strong AI GDPR and Regulatory Compliance scores, with Clarifai at 8.8 and Hive Data at 8.6. This indicates that both platforms are committed to maintaining compliance, which is a significant consideration for businesses handling sensitive data.
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
58
8.1
9
Ease of Use
8.2
58
8.9
9
Ease of Setup
7.7
35
8.7
5
Ease of Admin
8.8
20
9.0
5
Quality of Support
8.1
49
9.0
8
Has the product been a good partner in doing business?
8.5
18
8.6
6
Product Direction (% positive)
7.8
53
10.0
7
Features by Category
System
8.4
17
Not enough data
Model Development
8.7
18
Not enough data
7.8
18
Not enough data
9.2
18
Not enough data
8.4
18
Not enough data
Model Development
8.8
15
Not enough data
Machine/Deep Learning Services
8.7
18
Not enough data
9.1
16
Not enough data
8.4
16
Not enough data
8.4
17
Not enough data
Machine/Deep Learning Services
8.8
16
Not enough data
8.5
16
Not enough data
Deployment
8.2
17
Not enough data
8.0
17
Not enough data
8.0
15
Not enough data
Generative AI
8.8
15
Not enough data
8.7
15
Not enough data
8.3
15
Not enough data
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
8.3
13
Not enough data
8.7
13
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
8.3
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
Not enough data
Facial Recognition
8.5
13
Not enough data
7.8
12
Not enough data
Labeling
8.3
12
Not enough data
8.6
12
Not enough data
9.1
13
Not enough data
Deployment
8.6
13
Not enough data
Scalability and Performance - Generative AI Infrastructure
8.4
22
Not enough data
8.1
21
Not enough data
9.0
21
Not enough data
Cost and Efficiency - Generative AI Infrastructure
7.9
22
Not enough data
8.4
20
Not enough data
Feature Not Available
Not enough data
Integration and Extensibility - Generative AI Infrastructure
8.1
19
Not enough data
7.9
20
Not enough data
8.5
21
Not enough data
Security and Compliance - Generative AI Infrastructure
8.8
19
Not enough data
8.5
19
Not enough data
Feature Not Available
Not enough data
Usability and Support - Generative AI Infrastructure
7.9
20
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
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
Clarifai and Hive Data are categorized as Data Labeling
Unique Categories
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
23.1%
Information Technology and Services
12.3%
Higher Education
9.2%
Education Management
4.6%
Online Media
3.1%
Other
47.7%
Information Technology and Services
20.0%
Computer Software
20.0%
Telecommunications
10.0%
Management Consulting
10.0%
Hospitality
10.0%
Other
30.0%
Alternatives
Discussions
Clarifai has no discussions with answers
Hive Data has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
