Redash vs. dataPARC
A side-by-side comparison based on G2 review data.
| Metric | Redash | dataPARC |
|---|---|---|
| Overall rating | 4.3 | 4.9 |
| Review count | 44 | 39 |
| Ease of use | 8.9 | 9.2 |
| Ease of setup | 8.1 | 9.0 |
| Quality of support | 8.7 | 9.7 |
| Meets requirements | 9.0 | 9.6 |
| NPS | 56.818182 | 97.435897 |
| Small Business | 36.4% | 5.3% |
| Mid-Market | 50.0% | 63.2% |
| Enterprise | 13.6% | 31.6% |
| Total page views | 86 | 321 |
| Total LLM citations | 332 | 670 |
Redash
Redash is an open-source data visualization and business intelligence platform that empowers organizations to connect, query, and visualize data from multiple sources. Designed for both technical and non-technical users, Redash simplifies data exploration and sharing, enabling teams to make informed, data-driven decisions. Its intuitive interface allows users to write SQL queries, create interactive dashboards, and share insights seamlessly across departments.
- Data Visualization
- Customization
- Integrations
- Ease of Use
- Speed
- SQL Querying
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