Grafana Cloud Application Observability vs Odigos
Grafana Cloud Application Observability
grafana.comOdigos
odigos.ioSide by side
| Figure | Grafana Cloud Application Observability | Odigos |
|---|---|---|
| Price from | $0.03/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 5 | 2 |
| Spec score · Runtime Monitoring Software | 9.2 (#3) | 7.7 (#28) |
| Purpose | Grafana Cloud Application Observability provides out-of-the-box application monitoring and uses OpenTelemetry and Prometheus data to support root-cause analysis. | Odigos records live runtime activity inside services so engineers, AI agents, and security teams can investigate production behavior without changing application code. |
Plans
Grafana Cloud Application Observability
- FreeFree
- Pro$0.03 a month
- FreeFree
- Pro$0.03 a month
- EnterprisePriced on request
In their own words
Grafana Cloud Application Observability
Grafana Cloud Application Observability monitors applications and brings OpenTelemetry and Prometheus data together to help software engineers investigate anomalies and their causes. Its knowledge graph discovers services and relationships from telemetry, while the service catalog displays latency, error ratio, and request rate for each service. The RCA workbench and Entity Graph help investigate correlated problems across a stack. Metrics, logs, traces, and profiles share a unified view, with drill-down from a service into its signals. Grafana identifies Alloy as a collector with native pipelines for OpenTelemetry and Prometheus. The free plan includes up to 2,232 host hours per month and community support. Pro is listed at $0.03 a month, with a $19 monthly platform fee and $0.025 per host hour; host hours and application telemetry are billed at standard Grafana Cloud rates. Serverless usage is billed on telemetry ingested instead of host hours. The cloud service runs on Linux, macOS, Windows, and the web.
Odigos
Odigos is self-hosted software for recording live runtime activity inside services, so engineers, AI agents and security teams can investigate production behavior without changing application code. It can collect traces, metrics, logs, profiles and function values, including evidence that would otherwise require an instrumentation release or redeployment. Odigos uses out-of-process eBPF capture; the company states it uses under 1% CPU and adds effectively zero latency. Access controls govern who can request captures, which workloads they cover and what can be collected. PII masking, attribute deletion and sampling can shape captured values in the cluster before export. Data is sent as OpenTelemetry to configured destinations, and Odigos can run alongside tools including Datadog, New Relic, Honeycomb, Grafana Cloud, Jaeger, Tempo, Loki and SigNoz. The listed supported languages are Go, Java, Python,.NET, JavaScript, PHP and Ruby. Deployment options include Kubernetes, VMs and bare metal. Odigos also supports function-level virtual patching to block matching application calls before a code release. The open-source plan costs nothing and includes community support. Enterprise has custom pricing and a 14-day free trial; it lists multi-cluster administration and 24/7 premium support. Oracle database tracing is marked “Coming Soon” on the plan comparison.