Grafana Tempo
High-scale, cost-efficient distributed tracing backend from Grafana Labs. Tempo stores traces directly in object storage (S3, GCS, Azure Blob) with no indexing — making it dramatically cheaper than Jaeger or Zipkin for high-volume trace storage. Integrates natively with Grafana for trace visualization and supports trace-to-log and trace-to-metric correlation. Accepts OTLP, Jaeger, Zipkin, and OpenCensus trace formats. Designed as the tracing component of the Grafana LGTM stack (Loki + Grafana + Tempo + Mimir).
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Apache 2.0, Grafana Labs. No built-in auth is a risk — mitigated by reverse proxy. OTLP traces may contain sensitive request data — ensure TLS for ingestion. Multi-tenancy via header-based org isolation. SOC2 for Grafana Cloud.
⚡ Reliability
Best When
You're running Grafana for metrics/logs and want affordable high-volume trace storage using object storage, with native Grafana trace visualization and correlation.
Avoid When
You need rich trace search and analytics with complex filters — Honeycomb or Jaeger with Elasticsearch backend offer better search capabilities.
Use Cases
- • Store distributed traces from OpenTelemetry-instrumented services at low cost using object storage with no indexing overhead
- • Correlate traces with logs (Loki) and metrics (Mimir/Prometheus) in Grafana for unified observability without multiple backends
- • Query traces by trace ID or span attributes via TraceQL for debugging agent distributed workflows
- • Ingest traces from multiple sources (OTLP, Jaeger, Zipkin) into a single scalable backend
- • Set up a complete self-hosted observability stack for agent infrastructure monitoring using the LGTM stack
Not For
- • Teams needing search-heavy trace analytics — Tempo's design prioritizes storage cost over query flexibility; Jaeger or Honeycomb offer richer search
- • Application Performance Monitoring (APM) with automatic instrumentation — use Elastic APM or Datadog APM for full APM capabilities
- • Small-scale deployments where object storage overhead isn't justified — Jaeger all-in-one is simpler for dev/test
Interface
Authentication
Tempo open source: no built-in auth — use reverse proxy. Grafana Cloud Tempo: uses Grafana Cloud auth (API keys or OAuth). Multi-tenancy via X-Scope-OrgID header for organizational isolation.
Pricing
Apache 2.0 open source. Self-hosted with S3 storage is extremely cost-efficient — storage at $0.023/GB vs $0.10-0.50/GB for managed tracing services. Grafana Cloud offers a managed option.
Agent Metadata
Known Gotchas
- ⚠ Tempo's primary query interface is by trace ID — searching by service name or time range requires TraceQL or Tempo Search API (which has resource overhead)
- ⚠ No auth by default in self-hosted — must deploy behind auth proxy or use Grafana's built-in auth for Grafana Cloud
- ⚠ Object storage consistency models vary — GCS/Azure may have eventual consistency for newly written traces; allow 1-5 seconds before querying recent traces
- ⚠ Tempo requires sufficient local disk for WAL (write-ahead log) and block cache — undersized disks cause ingestion failures
- ⚠ TraceQL is powerful but different from SQL — agents querying traces must learn Tempo's specific query syntax
- ⚠ Tempo compactor runs periodically — fragmented blocks accumulate until compaction; configure compaction schedule for storage efficiency
- ⚠ Multi-tenant isolation requires X-Scope-OrgID header — missing header routes to 'anonymous' tenant in multi-tenant mode
Alternatives
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Scores are editorial opinions as of 2026-03-06.