Looker vs. Databox
A side-by-side comparison based on G2 review data.
| Metric | Looker | Databox |
|---|---|---|
| Overall rating | 4.4 | 4.4 |
| Review count | 1,653 | 194 |
| Ease of use | 8.5 | 8.9 |
| Ease of setup | 8.5 | 8.8 |
| Quality of support | 8.8 | 9.1 |
| Meets requirements | 8.9 | 9.0 |
| NPS | 58.653241 | 60.31746 |
| Small Business | 19.6% | 71.4% |
| Mid-Market | 60.3% | 21.4% |
| Enterprise | 20.1% | 7.3% |
| Total page views | 2,894 | 772 |
| Total LLM citations | 14,147 | 14,563 |
Looker
Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation.
- Ease of Use
- Insights
- Easy Integrations
- Integrations
- Data Visualization
- Analytics
Databox
Databox is an agentic analytics platform for people responsible for business performance. It brings data from across the business into one place and organizes it around consistent metrics and the context that explains how the business works. Start with prebuilt metrics and definitions, or prepare your own data and create the custom metrics, calculations, and datasets you need. With that foundation in place, Databox does more of the recurring reporting and analysis. Ask its AI Analyst questions about your business and get clear answers with the reasoning behind them.
- Ease of Use
- Integrations
- Easy Integrations
- Insights
- Customer Support
- Implementation Ease