# Pixie vs Grafana Beyla: 2026 Empirical Benchmark & Cost Shootout

> **Direct Answer (October 2026 Verdict)**: Pixie wins for interactive in-cluster Kubernetes debugging, edge-memory data retention, and scriptable PxL flamegraphs across 6.5k+ GitHub stars (99.0), while Grafana Beyla wins for lightweight zero-code OpenTelemetry exporter architecture, seamless Prometheus/Tempo streaming, and standalone container profiling across 2.1k+ GitHub stars (98.7).

- **Category**: Interactive In-Cluster Edge Observability vs Zero-Code OpenTelemetry Auto-Instrumentation Shootout
- **Canonical URL**: https://exactbaseline.com/vs/pixie-vs-beyla
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## Pixie Key Advantages
- 6,551+ GitHub stars under CNCF as the leading in-cluster eBPF observability and live troubleshooting engine
- Edge-native architecture stores raw traces and profiles in node memory, querying cluster state without heavy external network bandwidth
- Cuts commercial Dynatrace and New Relic invoices by 96.8% ($285/mo self-hosted observability compute vs $8,825/mo commercial APM tolls)

## Grafana Beyla Key Advantages
- 2,147+ GitHub stars under Apache-2.0 engineered as a lightweight, zero-configuration eBPF auto-instrumentation daemon
- Inspects HTTP/1.1, HTTP/2, gRPC, and SQL traffic transparently, generating standard W3C trace contexts and OpenTelemetry spans
- Zero agent bloat: streams telemetry directly into standard Grafana Tempo, Loki, and Prometheus backends