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SPECIFICTION
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KubeSense vs Parca

KubeSense

kubesense.ai

Parca

parca.dev

Side by side

FigureKubeSenseParca
Price from$20/moFree
Free plan—Yes
Free trial——
Open source——
WebYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published41
Spec score · eBPF Observability Tools7.8 (#15)8.1 (#9)
DeploymentThe demo page describes cloud and on-premise deployment options.The project documents installation using binaries, containers, Kubernetes, and Snaps.
ProductKubeSense describes itself as an AI, LLM, and eBPF-powered observability platform for petabyte-scale performance.Parca continuously collects, stores, and makes CPU, memory, I/O, and other profiles available for querying over time.
SupportThe pricing page states every plan includes enterprise-grade support, with plan-specific email, Slack, on-call, migration, and configuration support.Polar Signals offers paid support for users of Parca’s open-source project.

Plans

KubeSense

  • Basic$20 a month
  • Standard$25 a month
  • Premium$30 a month
  • Enterprise$9,999 a month

KubeSense pricing →

Parca

  • Parca Open SourceFree

Parca pricing →

In their own words

KubeSense

KubeSense has no write-up on Specifiction yet; its figures are above.

Visit kubesense.ai

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.

Visit parca.dev