AWS IoT Analytics vs. dataPARC
A side-by-side comparison based on G2 review data.
| Metric | AWS IoT Analytics | dataPARC |
|---|---|---|
| Overall rating | 4.5 | 4.9 |
| Review count | 21 | 39 |
| Ease of use | 8.9 | 9.2 |
| Ease of setup | 8.9 | 9.0 |
| Quality of support | 8.8 | 9.7 |
| Meets requirements | 9.0 | 9.6 |
| NPS | 64.705882 | 97.435897 |
| Small Business | 38.1% | 5.3% |
| Mid-Market | 23.8% | 63.2% |
| Enterprise | 38.1% | 31.6% |
| Total page views | 73 | 321 |
| Total LLM citations | 45 | 670 |
AWS IoT Analytics
AWS IoT Analytics is a fully-managed service that makes it easy to run sophisticated analytics on massive volumes of IoT data without having to worry about all the cost and complexity typically required to build your own IoT analytics platform.
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