Both OTel-native and self-hostable. One adds cost, security, and an agent.
SigNoz is a genuinely comparable architecture: OpenTelemetry-native, self-hosted, no ingestion bill. This is the closest apples-to-apples comparison on this page. The gap isn't in the pipeline, it's in what's built on top of it.
Where it actually differs
Architecture
OTel-native, self-hosted, local processing, $0 ingestion. No proprietary agent, standard OTLP throughout.
Also OTel-native and self-hostable, backed by ClickHouse, with no ingestion bill. The most architecturally similar comparison here, genuinely.
Kubernetes cost attribution
Cost attribution by workload and team is native to the platform, on the same pipeline as logs, traces, and metrics.
Cost attribution isn't part of the platform. Teams that need it pair SigNoz with a separate tool like Kubecost or OpenCost.
Security posture
CVE scanning and CIS Benchmark posture, powered by Kubescape, correlated in the same workload view as APM and cost.
No built-in vulnerability scanning or CIS posture. Security coverage means running and correlating a separate tool yourself.
Monitor catalog
Built-in monitor catalog with pre-configured Kubernetes alerting rules from day one, no query language required for baseline coverage.
Alerting rules are written per metric or log query from scratch. Flexible, but no pre-configured Kubernetes monitor catalog ships with it.
AI incident response
Raiya correlates signals across logs, traces, and metrics, proposes root cause with supporting evidence, and executes approved runbooks.
No built-in AI incident-response agent. Root cause analysis is manual, across the same self-hosted stack.
Why teams add Randoli
SigNoz deserves a fair comparison, not a dismissal. It's genuinely OTel-native, genuinely self-hostable, and the ClickHouse-backed storage layer is a legitimate architecture choice with no ingestion-based billing to work around. For a team that only needs a self-hosted OTel pipeline, it's a real option.
Teams add Randoli when they need what sits on top of that pipeline: Kubernetes cost attribution, CVE and CIS security posture, a monitor catalog that doesn't start from a blank query, and Raiya correlating and resolving incidents instead of a human doing it by hand. This is consolidation onto one platform, not a claim that the underlying pipeline is somehow better.