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SPECIFICTION
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ApexData vs Parca

ApexData

apexdata.ai

Parca

parca.dev

Side by side

FigureApexDataParca
Price from$1,000/moFree
Free plan—Yes
Free trial——
Open source——
WebYesYes
Linux—Yes
API—Yes
Self-hostedYesYes
Plans published41
Spec score · eBPF Observability Tools7.9 (#11)8.1 (#9)
DeploymentApexData offers SaaS with consumption-based billing and on-premise deployment with an annual fixed-cost model; air-gapped deployment is available.The project documents installation using binaries, containers, Kubernetes, and Snaps.
ProductApexData describes itself as an AI-powered observability platform for real-time application and infrastructure insights.Parca continuously collects, stores, and makes CPU, memory, I/O, and other profiles available for querying over time.
SecurityThe AI Investigation page says ApexData can be deployed on the customer’s cluster or VPC, that data stays in the customer’s infrastructure, and that it is SOC 2 Type II compliant.The project says the Agent source is open source, it is written in Go, and its binaries and container images are fully reproducible; the Agent needs privileged access to load eBPF programs.
SupportThe maker advertises dedicated 24/7 support from engineers and founders, hands-on training, guided onboarding, and custom development.Polar Signals offers paid support for users of Parca’s open-source project.

Plans

ApexData

  • Startup$1,000 a month
  • Essentials$5,000 a month
  • Professional$7,000 a month
  • Enterprise$10,000 a month

ApexData pricing →

Parca

  • Parca Open SourceFree

Parca pricing →

In their own words

ApexData

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

Visit apexdata.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