SAS Visual Forecasting vs. TrendMiner
A side-by-side comparison based on G2 review data.
| Metric | SAS Visual Forecasting | TrendMiner |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 13 | 201 |
| Ease of use | 8.1 | 9.0 |
| Ease of setup | 7.6 | 8.7 |
| Quality of support | 8.4 | 9.4 |
| Meets requirements | 9.4 | 8.9 |
| NPS | 66.666667 | 81.725888 |
| Small Business | 30.8% | 14.5% |
| Mid-Market | 30.8% | 34.5% |
| Enterprise | 38.5% | 51.0% |
| Total page views | 92 | 491 |
| Total LLM citations | 58 | 1,628 |
SAS Visual Forecasting
SAS Visual Forecasting allows users to generate large numbers of trustworthy forecasts, quickly and automatically, using time series, machine learning and deep learning techniques. It comes with a no/low-code user interface, as well as a programmatic interface where users can code in SAS and open-source languages such as Python and R.
- Ease of Use
- Integrations
- Features
- Time Management
- Drag
- Design Creativity
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