Plausible Analytics
Prometheus
| Feature | Plausible Analytics | Prometheus |
|---|---|---|
| Pricing | From $9/mo | Free only |
| Free Plan | ✗ No | ✓ Yes |
| Rating | 4.6 / 5 | 4.5 / 5 |
| Best For | privacy-conscious-businesses, bloggers, developers, eu-businesses | devops-engineers, sre-teams, kubernetes-users, infrastructure-teams |
| Founded | 2019 | 2012 |
| Pageviews | ✓ | ✗ |
| Referrers | ✓ | ✗ |
| Goals | ✓ | ✗ |
| Custom Events | ✓ | ✗ |
| Utm Tracking | ✓ | ✗ |
| Api | ✓ | ✗ |
| Self Hosting | ✓ | ✗ |
| Metrics Collection | ✗ | ✓ |
| Alerting | ✗ | ✓ |
| Promql | ✗ | ✓ |
| Service Discovery | ✗ | ✓ |
| Grafana Integration | ✗ | ✓ |
| Multi Dimensional Data | ✗ | ✓ |
✓ Plausible Analytics Pros
- No cookies — GDPR compliant without consent banner
- Script is under 1KB (vs GA's 45KB)
- Open-source and transparent
- Simple dashboard — no overwhelming data
✗ Plausible Analytics Cons
- Less detailed than Google Analytics
- No free tier (but affordable)
- Limited segmentation and custom reports
✓ Prometheus Pros
- Free and open-source
- Powerful query language
- Great Kubernetes integration
- Active community
✗ Prometheus Cons
- No built-in long-term storage
- Complex setup
- Steep learning curve
The Verdict
Plausible Analytics is built for privacy conscious businesses and bloggers, with a focus on pageviews and referrers. Prometheus targets devops engineers and sre teams and leads with metrics-collection and alerting.
Prometheus uses custom enterprise pricing, while Plausible Analytics starts at $9/mo — a tangible advantage for teams with a fixed budget.
Prometheus has a free plan, which gives it a meaningful edge for individuals and small teams exploring their options. Plausible Analytics requires a paid subscription from day one.
Feature-wise, Plausible Analytics offers broader built-in capabilities (7 features vs 6), while Prometheus takes a more focused approach — which can mean a simpler, faster onboarding experience.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.