Databricks vs. Labellerr
A side-by-side comparison based on G2 review data.
| Metric | Databricks | Labellerr |
|---|---|---|
| Overall rating | 4.6 | 4.8 |
| Review count | 1,388 | 21 |
| Ease of use | 8.9 | 9.7 |
| Ease of setup | 8.7 | 9.3 |
| Quality of support | 8.9 | 9.8 |
| Meets requirements | 9.1 | 9.4 |
| NPS | 77.851361 | 85.714286 |
| Small Business | 15.1% | 57.1% |
| Mid-Market | 37.6% | 38.1% |
| Enterprise | 47.2% | 4.8% |
| Total page views | 16,340 | 89 |
| Total LLM citations | 14,031 | 220 |
Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Features
- Ease of Use
- Integrations
- Collaboration
- Analytics
- Easy Integrations
Labellerr
Labellerr is a computer vision workflow automation platform. It helps ML teams to manage their AI development lifecycle much more efficiently. It helps teams to collaboratively work on data labeling tasks and have modules to manage multiple projects, users, and millions of unstructured data. Teams can perform- 1. Automated data curation 2. EDA (Exploratory Data Analysis) 3. Automated data labeling 4. Quality control with assurance 5. Automated QC 6. Model debugging Data types that it supports are images, videos, text, audio, and PDFs.
- Efficiency
- Response Speed
- Annotation Efficiency
- Data Accuracy
- Collaboration
- Quality