Hive Data vs. Roboflow
A side-by-side comparison based on G2 review data.
| Metric | Hive Data | Roboflow |
|---|---|---|
| Overall rating | 4.4 | 4.7 |
| Review count | 10 | 160 |
| Ease of use | 9.0 | 9.4 |
| Ease of setup | 8.9 | 9.3 |
| Quality of support | 9.1 | 9.0 |
| Meets requirements | 8.4 | 9.2 |
| NPS | 50 | 86.875 |
| Small Business | 40.0% | 77.5% |
| Mid-Market | 10.0% | 13.8% |
| Enterprise | 50.0% | 8.8% |
| Total page views | 65 | 4,410 |
| Total LLM citations | 273 | 30,407 |
Hive Data
Founded in 2013, Hive is a pioneering AI company specialized in computer vision and deep learning. Hive is focused on powering innovators across industries with practical AI solutions and data labeling, grounded in the world's highest quality visual and audio metadata. The company solves challenges for enterprises through three main pillars of the business: Hive Data, Hive Predict, and Hive Enterprise. Hive Data is the world's largest distributed data labeling platform with over 2 million registered contributors globally.
Roboflow
Roboflow has everything you need to build and deploy computer vision applications. Over 1,000,000 users from businesses of every size — from startups to public companies — use the company's end-to-end platform for image and video collection, organization, annotation, preprocessing, model training, and deployment. Roboflow provides tools for each step in the computer vision deployment lifecycle and integrates with your existing solutions so you can tailor your pipeline to meet your needs.
- Ease of Use
- Efficiency
- Annotation Efficiency
- Data Labelling
- Features
- Data Management