Parca vs Grafana Pyroscope
A side-by-side comparison of two self-hosted monitoring & status options — licensing, setup difficulty, resource needs, and what each one replaces.
Grafana Pyroscope
Continuous profiling for finding performance bottlenecks
| Feature | Parca | Grafana Pyroscope |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 90 · Excellent | 93 · Excellent |
| Category | Monitoring & Status | Monitoring & Status |
| License | Apache-2.0 | AGPL-3.0 |
| Language | TypeScript | Go |
| Setup difficulty | Medium | Medium |
| Min. RAM | 256 MB | 512 MB |
| Deployment | docker, kubernetes, binary | docker, kubernetes, helm |
| GitHub stars | ★ 4,980 | ★ 11,669 |
| First released | 2021 | 2020 |
| Replaces | Datadog Profiler | Datadog Profiler |
What are Parca and Grafana Pyroscope?
Parca
Parca is an open-source continuous profiling project that uses eBPF to profile entire systems without code changes. It records CPU and memory usage over time to help reduce infrastructure costs.
- eBPF zero-instrumentation profiling
- Whole-system CPU insight
- Flame graph diffs
- Kubernetes-native
Grafana Pyroscope
Grafana Pyroscope is a continuous profiling platform that collects, stores, and queries profiling data with minimal overhead. It helps engineers pinpoint CPU and memory hotspots across services.
- Continuous code profiling
- Flame graph visualization
- Low-overhead agents
- Grafana integration
Parca vs Grafana Pyroscope: key differences
Parca is written in TypeScript, while Grafana Pyroscope is built with Go. Licensing differs — Apache-2.0 for Parca versus AGPL-3.0 for Grafana Pyroscope. Parca is the lighter option, starting around 256 MB of RAM against 512 MB for Grafana Pyroscope. Grafana Pyroscope has the considerably larger community, at 11,669 GitHub stars versus 4,980.
Why pick each one
Choose Parca if…
- No code changes needed
- Low overhead
Watch out for
- Requires recent Linux kernel
- Mostly CPU-focused
Choose Grafana Pyroscope if…
- Pinpoints performance hotspots
- Scales efficiently
Watch out for
- Niche use case
- Language agent setup required
Frequently asked questions
Is Parca or Grafana Pyroscope better?
Neither is universally better. Grafana Pyroscope has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Parca and Grafana Pyroscope free and open-source?
Yes. Parca is licensed under Apache-2.0 and Grafana Pyroscope under AGPL-3.0. Both can be self-hosted at no software cost.
Can I run Parca and Grafana Pyroscope with Docker?
Parca: yes. Grafana Pyroscope: yes.
Which is lighter on resources, Parca or Grafana Pyroscope?
Parca has the smaller minimum footprint at 256 MB of RAM, compared to about 512 MB for Grafana Pyroscope. Real-world usage depends on library size, user count, and enabled features.