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Compare Hive Data and SuperAnnotate 
Featured Products
At a Glance
Market Segments
Enterprise (50.0% of reviews)
Small-Business (62.5% of reviews)
Entry-Level Pricing
No pricing available
Contact Us
Hive 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 DataSuperAnnotate
Star Rating
(219)4.9 out of 5
Market Segments
Small-Business (62.5% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that SuperAnnotate excels in user experience, with a user-friendly interface that simplifies data labeling and annotation tasks. Users appreciate how it keeps projects organized and enhances collaboration, making it a go-to choice for machine learning and AI projects.
- According to verified reviews, Hive Data offers strong capabilities for querying and managing data, with features that support various query types and compatibility with tools like HDFS and HQL. Users highlight its effectiveness in building AI solutions, although it may not be as intuitive as SuperAnnotate for everyday tasks.
- Users say that SuperAnnotate's built-in quality assurance tools significantly improve the accuracy of annotations, which is crucial for projects involving computer vision and NLP workflows. This focus on quality helps users feel more confident in their outputs compared to Hive Data, which lacks similar dedicated features.
- Reviewers mention that Hive Data has a solid performance in handling structured data pipelines and accurate machine learning models, making it a strong contender for users focused on data management. However, it faces challenges in user satisfaction, reflected in its lower G2 Score compared to SuperAnnotate.
- G2 reviewers highlight that SuperAnnotate has a more robust support system, with users noting the platform's reliability and helpful customer service. In contrast, Hive Data's support is perceived as less responsive, which can impact user experience during critical project phases.
- According to recent feedback, SuperAnnotate has a higher volume of recent reviews, indicating a more active user base and ongoing improvements. This contrasts with Hive Data, which has received fewer reviews lately, suggesting it may not be evolving as quickly to meet user needs.
Pricing
Entry-Level Pricing
Hive Data
No pricing availableSuperAnnotate
Pro
Contact Us
Get ready to scale your most sophisticated AI projects and MLOps needs
- Fully customizable multimodal editor
- Image, video, text, and audio editors
- Data curation and exploration
Free Trial
Hive Data
No trial information availableSuperAnnotate
Free Trial is available
Ratings
Meets Requirements
8.1
9
9.6
130
Ease of Use
8.9
9
9.6
135
Ease of Setup
8.7
5
9.6
94
Ease of Admin
9.0
5
9.6
51
Quality of Support
9.0
8
9.6
131
Has the product been a good partner in doing business?
8.6
6
9.7
52
Product Direction (% positive)
10.0
7
9.6
116
Features by Category
Deployment
Not enough data
9.8
10
Not enough data
9.2
11
Not enough data
9.3
9
Not enough data
9.7
10
Not enough data
9.5
10
Deployment
Not enough data
9.4
11
Not enough data
9.5
11
Not enough data
9.5
10
Not enough data
9.4
11
Not enough data
9.3
12
Management
Not enough data
9.3
9
Not enough data
9.0
10
Not enough data
9.2
8
Not enough data
9.6
8
Operations
Not enough data
9.3
9
Not enough data
9.2
8
Not enough data
9.2
8
Management
Not enough data
9.6
8
Not enough data
9.4
8
Not enough data
9.3
7
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Quality
Not enough data
9.7
82
Not enough data
9.6
89
Not enough data
9.6
80
Not enough data
9.7
80
Automation
Not enough data
9.3
63
Not enough data
9.5
51
Image Annotation
Not enough data
9.4
75
Not enough data
9.4
71
Not enough data
9.3
63
Not enough data
9.5
65
Natural Language Annotation
Not enough data
9.4
50
Not enough data
9.3
43
Not enough data
9.6
47
Speech Annotation
Not enough data
9.2
44
Not enough data
9.1
42
Model Training & Optimization - Active Learning Tools
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
Data Management & Annotation - Active Learning Tools
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
Model Performance & Analysis - Active Learning Tools
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
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
9.5
17
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
9.7
16
Not enough data
9.7
15
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.7
15
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
16
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
15
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
12
Not enough data
9.4
14
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
16
Not enough data
9.7
15
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
14
Not enough data
9.6
13
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
12
Not enough data
9.5
13
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Categories
Categories
Shared Categories
Hive Data and SuperAnnotate are categorized as Data Labeling
Unique Categories
Hive Data has no unique categories
SuperAnnotate is categorized as Large Language Model Operationalization (LLMOps), MLOps Platforms, and Active Learning Tools
Reviews
Reviewers' Company Size
Hive Data
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SuperAnnotate
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
20.0%
Computer Software
20.0%
Telecommunications
10.0%
Management Consulting
10.0%
Hospitality
10.0%
Other
30.0%
Information Technology and Services
24.4%
Computer Software
16.5%
Research
6.3%
Higher Education
4.5%
Health, Wellness and Fitness
3.4%
Other
44.9%
Discussions
Hive Data has no discussions with answers
What is SuperAnnotate?
1 Comment
MM
SuperAnnotate is an end-to-end platform to annotate, version, and manage ground truth data for your AI.Read more
What is your experience with SuperAnnotate for data annotation, and what would you like to see improved?
1 Comment
ST
I have been invited to skill test for a few projects with superannotate over the past year or so, each resulting in the platform being buggy and not allowing...Read more
SuperAnnotate has no more discussions with answers
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