# Jaeger vs Tempo: 2026 Empirical Benchmark & Cost Shootout

> **Direct Answer (October 2026 Verdict)**: Jaeger wins for CNCF ecosystem maturity, sub-millisecond indexed span search, and turnkey adaptive sampling across 23.3k+ GitHub stars (99.5), while Grafana Tempo wins for high-volume 100% trace ingestion directly to cloud object storage (S3/GCS) with zero indexing overhead across 5.5k+ GitHub stars (99.1).

- **Category**: CNCF Distributed Tracing Standard vs High-Volume S3 Object Storage Trace Engine Shootout
- **Canonical URL**: https://exactbaseline.com/vs/jaeger-vs-tempo
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## Jaeger Key Advantages
- 23,326+ GitHub stars under Apache-2.0 as the CNCF graduated standard for cloud-native distributed tracing
- Native OpenTelemetry protocol (OTLP) support with Elasticsearch, OpenSearch, and Cassandra storage backends
- Cuts commercial Dynatrace and Honeycomb invoices by 93.8% ($210/mo self-hosted cluster vs $3,400/mo SaaS)

## Tempo Key Advantages
- 5,542+ GitHub stars under AGPL-3.0 delivering massive trace scale by writing directly to S3/GCS object storage
- Eliminates expensive index maintenance and RAM caching by relying on trace IDs passed from Grafana Loki and Prometheus
- Zero downsampling required: ingest 100% of production spans at commodity object storage costs