Prometheus
Sprig
| Feature | Sprig | |
|---|---|---|
| Pricing | Free only | Free only |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.3 / 5 |
| Best For | devops-engineers, sre-teams, kubernetes-users, infrastructure-teams | product-managers, ux-researchers, growth-teams, product-designers |
| Founded | 2012 | 2017 |
| Metrics Collection | ✓ | ✗ |
| Alerting | ✓ | ✗ |
| Promql | ✓ | ✗ |
| Service Discovery | ✓ | ✗ |
| Grafana Integration | ✓ | ✗ |
| Multi Dimensional Data | ✓ | ✗ |
| In App Surveys | ✗ | ✓ |
| Session Replay | ✗ | ✓ |
| Ai Analysis | ✗ | ✓ |
| Targeting | ✗ | ✓ |
| Heatmaps | ✗ | ✓ |
| Feedback | ✗ | ✓ |
✓ 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
✓ Sprig Pros
- In-context user research
- AI-powered analysis
- Good targeting options
- Integrates with product
✗ Sprig Cons
- Expensive at scale
- Limited to in-app research
- Newer platform
The Verdict
Prometheus is built for devops engineers and sre teams, with a focus on metrics-collection and alerting. Sprig targets product managers and ux researchers and leads with in-app-surveys and session-replay.
Both tools use custom enterprise pricing — you'll need to contact sales for a quote, which makes direct cost comparison difficult.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
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.