Honeycomb vs Jaeger
Honeycomb
honeycomb.ioJaeger
jaegertracing.ioSide by side
| Figure | Honeycomb | Jaeger |
|---|---|---|
| Price from | $150/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 1 |
| Spec score · Distributed Tracing Tools | 8.6 (#3) | 8.0 (#11) |
| Spec score · Application Performance Monitoring | 8.5 (#6) | 8.1 (#16) |
| Spec score · Distributed Systems | 8.5 (#7) | 8.0 (#14) |
| Spec score · Monitoring Observability | 8.6 (#7) | 8.1 (#12) |
| Spec score · Runtime Monitoring Software | 8.5 (#15) | 8.1 (#24) |
| Founded | 2016 | 2016 |
| Security | Honeycomb's Trust Center lists SOC 2 Type 2, GDPR, and HIPAA among its certifications and compliance frameworks. | Jaeger documents TLS and mutual TLS support for several component connections, plus bearer-token authentication between browser and UI. |
Plans
In their own words
Honeycomb
Honeycomb is an observability platform for debugging systems, application code, and databases with structured telemetry. It supports distributed tracing, logs, metrics, and OpenTelemetry data sent over gRPC, HTTP/protobuf, or HTTP/JSON. Canvas combines AI-assisted investigations with natural-language queries, interactive exploration, and shared workspaces. Agent Timeline presents LLM calls, tool invocations, handoffs, and downstream system spans in event order. BubbleUp helps investigate outliers across traces, metrics, and logs. Listed integrations include AWS, OpenTelemetry, Slack, MySQL, Prometheus, ServiceNow, and GitHub Actions. The free plan allows up to 20M events and 100M metrics data points per month, with two triggers. Pro starts at $150/mo, with allowances of up to 750M events, 3.75B metrics data points, 100 triggers, and two SLOs. Enterprise has variable volumes and custom pricing. Honeycomb describes Free for individual projects, Pro for production teams, and Enterprise for multi-team or large-scale applications.
Jaeger
Jaeger is a free, open-source distributed tracing platform for monitoring complex systems and investigating performance problems. It helps teams locate bottlenecks, examine root causes, and map dependencies between services. Jaeger receives OpenTelemetry Protocol data and accepts Zipkin spans over HTTP in Thrift, JSON v1/v2, and Protobuf formats. Its UI includes System Architecture and Deep Dependency Graph views, while Service Performance Monitoring turns traces into aggregate metrics and time-series charts. Sampling supports head-based configurations, including centralized static or adaptive settings, and tail-based sampling. Cassandra, Elasticsearch, and OpenSearch are supported distributed storage backends; ClickHouse is experimental behind a feature gate. Jaeger v2 ships as binaries and container images, with an all-in-one mode using transient in-memory storage. It is self-hosted, so infrastructure determines capacity and scale. Jaeger v1 reached end of life on December 31, 2025.