Coroot vs Odigos

Coroot is an open-source observability platform that uses eBPF to collect metrics, logs, traces, and profiling data without code changes. It maps services and dependencies, and pairs eBPF auto-instrumentation with OpenTelemetry SDK traces for end-to-end request tracking. Continuous profiling can locate CPU spikes down to the line of code. Coroot tracks cloud costs without access to cloud accounts and detects risks such as single-instance applications, unreplicated databases, poor replica placement, and publicly exposed services. Its AI root cause analysis correlates metrics, logs, traces, events, and profiles to identify likely incident causes, with evidence and suggested fixes. Notifications can be sent through Slack, Microsoft Teams, PagerDuty, Opsgenie, and webhooks. Coroot supports Kubernetes, OpenShift, Docker, Docker Swarm, several listed Linux distributions, and Windows agents. Linux use requires kernel version 5.1 or later. The platform is self-hosted, keeping data within the customer's infrastructure. Community Edition is Apache 2.0 licensed and can run on premises or in a customer's cloud. The free Community Edition includes core features. Standard support is by email, chat, or ticket during business hours, while Premium includes 24×7 and phone support.

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.