SAS Analytics for IoT vs. TrendMiner
A side-by-side comparison based on G2 review data.
| Metric | SAS Analytics for IoT | TrendMiner |
|---|---|---|
| Overall rating | 4.2 | 4.6 |
| Review count | 19 | 201 |
| Ease of use | 8.2 | 9.0 |
| Ease of setup | 8.1 | 8.7 |
| Quality of support | 8.9 | 9.4 |
| Meets requirements | 8.6 | 8.9 |
| NPS | 31.578947 | 81.725888 |
| Small Business | 42.1% | 14.5% |
| Mid-Market | 26.3% | 34.5% |
| Enterprise | 31.6% | 51.0% |
| Total page views | 10 | 491 |
| Total LLM citations | 10 | 1,628 |
SAS Analytics for IoT
For users who need to quickly extract value from their IoT data and investments – in days, not months – SAS Analytics for IoT provides an integrated, business-focused interface that employs a proven way to organize, visualize and act on high volumes of diverse IoT data using a secure, flexible and scalable AI-embedded IoT Analytics platform.
TrendMiner
TrendMiner offers a fast, powerful, and intuitive industrial analytics & AI software platform. With a focus on highly digitized manufacturing industries, energy companies, and organizations with operations that need to maintain controlled environments. TrendMiner combines self-service, low-code data analysis for time series and event data with sophisticated machine learning (ML) and Agentic AI tools to deliver industrial data visualization, monitoring, and predictive capabilities.
- Ease of Use
- Speed
- Data Analysis
- Real-Time Monitoring
- Dashboard Trends
- Intuitive