Looker vs. dataPARC
A side-by-side comparison based on G2 review data.
| Metric | Looker | dataPARC |
|---|---|---|
| Overall rating | 4.4 | 4.9 |
| Review count | 1,653 | 39 |
| Ease of use | 8.5 | 9.2 |
| Ease of setup | 8.5 | 9.0 |
| Quality of support | 8.8 | 9.7 |
| Meets requirements | 8.9 | 9.6 |
| NPS | 58.653241 | 97.435897 |
| Small Business | 19.6% | 5.3% |
| Mid-Market | 60.3% | 63.2% |
| Enterprise | 20.1% | 31.6% |
| Total page views | 2,894 | 321 |
| Total LLM citations | 14,147 | 670 |
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
dataPARC
dataPARC is a self-service industrial data visualization & analytics toolkit designed for process manufacturers seeking to improve quality, increase yield, & optimize their operations. Collect, connect, & analyze IoT data from across the plant with dataPARC’s process data analytics & visualization platform. Solve challenging process & product quality issues with simple, yet powerful trending & diagnostic analytics tools. Build sophisticated dashboards and displays to monitor processes & share production KPIs across your enterprise.
- Insights
- Training
- Data Visualization
- Features
- Ease of Use
- Customizability