avuru obs vs Honeycomb
avuru obs
avuruobs.io
Honeycomb
honeycomb.ioSide by side
| Figure | avuru obs | Honeycomb |
|---|---|---|
| Price from | Free | $150/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Kubernetes Monitoring | 8.1 (#21) | 8.6 (#8) |
| Integrations | A Grafana data source provides service RED, health, trace search, and cross-zone traffic; its backend plugin keeps the API token out of the browser. | The integration directory lists technologies including AWS, OpenTelemetry, Slack, MySQL, Prometheus, ServiceNow, and GitHub Actions. |
| Security | The open edition includes OIDC single sign-on and project roles, and the product describes authentication as enabled by default. | Honeycomb's Trust Center lists SOC 2 Type 2, GDPR, and HIPAA among its certifications and compliance frameworks. |
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.