Databricks vs. Labelbox
A side-by-side comparison based on G2 review data.
| Metric | Databricks | Labelbox |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 1,388 | 48 |
| Ease of use | 8.9 | 9.1 |
| Ease of setup | 8.7 | 9.1 |
| Quality of support | 8.9 | 9.1 |
| Meets requirements | 9.1 | 9.1 |
| NPS | 77.851361 | 66.666667 |
| Small Business | 15.1% | 45.8% |
| Mid-Market | 37.6% | 37.5% |
| Enterprise | 47.2% | 16.7% |
| Total page views | 16,340 | 682 |
| Total LLM citations | 14,031 | 9,701 |
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
Labelbox
Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products with custom or foundation models, or using AI to automate data tasks or find business insights, Labelbox enables teams to do so effectively and quickly. The platform is used by Fortune 500 enterprises such as Walmart, P&G, Genentech, and Adobe, and hundreds of leading AI teams.
- Ease of Use
- Efficiency
- Data Labeling
- Easy Integrations
- Features
- AI Capabilities