What is Parca?
Parca is an open-source continuous profiling platform that tracks memory, CPU, and I/O bottlenecks across infrastructure at low overhead using eBPF. It requires zero instrumentation and provides a query engine specifically designed for profiling data analysis.
Parca pricing
We don't have Parca's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What Parca does
The capabilities that matter for apm tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Auto-instrumentation
- ✗
- Distributed tracing
- -
- Service map
- -
- Code / continuous profiling
- ✓
- Database monitoring
- -
- Error analytics
- -
- Real-user monitoring
- -
- SLO / error-budget tracking
- -
- Anomaly / root-cause AI
- -
- OpenTelemetry support
- -
- Language agents
- Any language or framework
- Hosting
- Self-hosted only
Platform & deployment
Independently observed- CLI
- Web
- Linux
- Self-hosted
Integrations (1)
Independently observed- Grafana
Parca alternatives
Other apm tools we track, ranked by the same independent score.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Parca, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 29 | 12.00 | 346.9 | ✓ |
| Integrations | 9 | 16.00 | 138.5 | ✓ |
| Github Stars | 0 | 5.00 | 0.0 | - |
| Github Activity | 0 | 18.00 | 0.0 | - |
| Release Cadence | 0 | 10.00 | 0.0 | - |
| Security Posture | 0 | 22.00 | 0.0 | - |
| Package Downloads | 0 | 26.00 | 0.0 | - |
| Stackoverflow Activity | 0 | 12.00 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.