Gyeeta vs Parca
Gyeeta
gyeeta.github.io
Parca
parca.devSide by side
| Figure | Gyeeta | Parca |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · eBPF Observability Tools | 8.0 (#10) | 8.1 (#9) |
| Deployment | Components can be installed with shell scripts, Kubernetes Helm charts, Docker containers, native rpm or deb packages, or tar packages. | The project documents installation using binaries, containers, Kubernetes, and Snaps. |
| Product | Gyeeta is a free, open source eBPF-based observability tool for Linux. | Parca continuously collects, stores, and makes CPU, memory, I/O, and other profiles available for querying over time. |
| Support | The site links to GitHub Discussions and Stack Overflow as community support channels. | Polar Signals offers paid support for users of Parca’s open-source project. |
Plans
In their own words
Gyeeta
Gyeeta is a free, open-source observability tool for Linux that runs in a self-hosted setup. It uses eBPF and kernel statistics to monitor hosts, services, and processes without application instrumentation. For TCP services, it reports query rates, latency, network throughput, active connections, and process resource use. Automatic discovery finds TCP services, clients, and dependencies without code changes or configuration inputs. Algorithms can identify service degradation or contention and suggest a probable cause. You can inspect results in a Web UI or query REST APIs, including queries spanning multiple hosts, with JSON responses. Alert notifications support email, Slack, PagerDuty, and webhooks. Documentation says data remains in-house. Installation is available through shell scripts, Helm charts, Docker containers, rpm or deb packages, and tar packages. The architecture documentation describes monitoring tens of thousands of hosts with one central server and intermediate servers. Gyeeta supports x86_64 Linux hosts with kernel 4.4 or newer.
Parca
Parca is a self-hosted profiling system that collects and stores CPU, memory, I/O, and other profiles for queries over time. Its eBPF-based Parca Agent captures user-space and kernel-space stack traces, while the system also accepts valid pprof-formatted profiles pushed through gRPC or pulled from targets over HTTP. Users can query by labels, compare dimensions such as processes or code versions, and view profiles in the web interface with Icicle Graphs. A Grafana plugin can display profiles stored in Parca. The agent supports automatic profiling for languages including C, C++, Go, Rust, .NET, Deno, Erlang, Java, Julia, Node.js, Wasmtime, PHP, Ruby, and Python. Installation options include binaries, containers, Kubernetes, and Snaps. Parca is open source under the Apache 2 License and is free. The agent requires Linux kernel 4.18 or newer and privileged access to load eBPF programs. Parca says it receives profiling statistics and function-name metadata, not binaries or source code.