Both products are OpenTelemetry-native and self-hostable. The decisive gap is the data plane: SigNoz centers ClickHouse and does not list continuous profiles as a core signal, while MoleSignal centers your object storage and brings profiles into the incident path.
Compare · SigNoz
Both accept OpenTelemetry. The meaningful questions are whether you want telemetry as Parquet you control, whether profiles belong in the incident path, and whether ClickHouse should be an operational dependency.
| Decision point | MoleSignal | SigNoz |
|---|---|---|
| Telemetry foundation | OpenTelemetry-native with OTLP plus compatibility endpoints for existing shippers. | OpenTelemetry-native; SigNoz documents logs, metrics, traces, exceptions, dashboards, and alerts in one product. |
| Storage and query | Parquet on object storage with DataFusion SQL, Arrow, and a PromQL subset. | ClickHouse columnar storage with Query Builder, PromQL, and ClickHouse SQL. |
| Continuous profiles | First-class profiles with pprof, Pyroscope-compatible, and OTLP Profiles intake plus trace context. | SigNoz’s current official product overview emphasizes logs, metrics, traces, and exceptions rather than a dedicated profiles product. |
| Deployment | Docker Compose, Kubernetes manifests, and the same binary in standalone or role-based layouts. | Community self-hosting via Docker, Kubernetes, or Linux, plus Cloud, BYOC, and enterprise self-hosted options. |
| Cost control | Self-hosting puts spend into your compute and object storage, without a software license fee for the Apache 2.0 core. | Choose usage-based SigNoz Cloud pricing or carry the infrastructure and operations of self-hosted ClickHouse. |
| Storage ownership | Telemetry is stored as Parquet in S3-compatible object storage you select and control. | Self-hosted telemetry lives inside ClickHouse; backups, retention, and storage tiers follow its operating model. |
Migration
Because both products speak OpenTelemetry, a side-by-side test can stay close to the data plane.
Fan out the same OTLP logs, metrics, and traces to both products.
Run equivalent dashboards, alerts, and trace-to-log investigations.
Add a profiling workload if code-level hotspots matter to your team.
Compare ClickHouse operations and recurring cost with object-storage operations, then test whether a separate profiling tool is still necessary.
Official sources
Product capabilities, editions, and prices change. Re-check the linked first-party sources before making a procurement or production decision.
MoleSignal is pre-1.0; validate it with your workload before production use. MoleSignal is not affiliated with Datadog, Grafana Labs, Elastic, SigNoz, or OpenObserve. Product names are the property of their respective owners.
Keep telemetry on your infrastructure and replace layered SaaS meters with infrastructure-led cost.
Replace five signal components and several query languages with one data plane and one incident path.
Run an Apache 2.0 observability data plane without adopting Elasticsearch, Kibana, and their broader operational footprint.
Keep Apache 2.0 and first-class profiles without an AGPL/commercial-license split or NATS in the HA path.
Start the self-hosted sandbox, send a representative OTLP workload, and test the investigation path your team uses during a real incident.