Splunk Synthetic Monitoring vs. CubeAPM
A side-by-side comparison based on G2 review data.
| Metric | Splunk Synthetic Monitoring | CubeAPM |
|---|---|---|
| Overall rating | 4.5 | 4.9 |
| Review count | 26 | 26 |
| Ease of use | 9.4 | 9.7 |
| Ease of setup | 9.5 | 9.6 |
| Quality of support | 9.3 | 10.0 |
| Meets requirements | 9.3 | 9.3 |
| NPS | 76.923077 | 100 |
| Small Business | 38.5% | 50.0% |
| Mid-Market | 11.5% | 42.3% |
| Enterprise | 50.0% | 7.7% |
| Total page views | 161 | 613 |
| Total LLM citations | 294 | 1,550 |
Splunk Synthetic Monitoring
Splunk Synthetic Monitoring helps you measure and improve uptime and performance for your critical apps and services. Splunk Synthetic Monitoring offers best-in class web performance optimization to delight your users and improve customer experience, while helping improve your SLAs and easily test your entire user funnel and key web and API functionality.
CubeAPM
CubeAPM is an OpenTelemetry-native observability and application performance monitoring (APM) platform that helps engineering and DevOps teams monitor applications, infrastructure, logs, and metrics from a single unified dashboard. Built for modern cloud and on-prem environments, CubeAPM offers full-stack visibility without sacrificing data control. It can be self-hosted inside your own cloud or data center, making it ideal for teams that need enterprise-grade observability while maintaining compliance with ISO 27001 standards.
- Customer Support
- Cost Optimization
- Monitoring
- User Interface
- Real-time Monitoring
- Pricing