IBM Edge Application Manager vs. SAS Analytics for IoT
A side-by-side comparison based on G2 review data.
| Metric | IBM Edge Application Manager | SAS Analytics for IoT |
|---|---|---|
| Overall rating | 4.3 | 4.2 |
| Review count | 10 | 19 |
| Ease of use | 7.7 | 8.2 |
| Ease of setup | 7.4 | 8.1 |
| Quality of support | 8.4 | 8.9 |
| Meets requirements | 7.8 | 8.6 |
| NPS | 50 | 31.578947 |
| Small Business | 30.0% | 42.1% |
| Mid-Market | 30.0% | 26.3% |
| Enterprise | 40.0% | 31.6% |
| Total page views | 65 | 10 |
| Total LLM citations | 58 | 10 |
IBM Edge Application Manager
IBM Edge Application Manager is an intelligent and flexible platform that provides autonomous management for edge computing. A single administrator can manage the scale, variability and rate of change of application environments across tens of thousands of endpoints simultaneously. IBM Edge Application Manager is a full-lifecycle edge environment that helps you to safely create, deploy, run, monitor, maintain and scale business logic and analytics applications at the edge. It can run anywhere and manage workloads on virtually any edge endpoint, including servers, gateways and devices.
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.