Elastic Observability brings telemetry onto the wider Elasticsearch and Kibana platform, along with index, lifecycle, deployment, and licensing decisions. MoleSignal stays purpose-built around object storage, DataFusion, and incident context.
Compare · Elastic Observability
Both can be self-managed and both support OpenTelemetry. MoleSignal keeps the boundary at telemetry; Elastic brings the storage, lifecycle, licensing, and product scope of a broader platform.
| Decision point | MoleSignal | Elastic Observability |
|---|---|---|
| Core architecture | Parquet on S3-compatible object storage, DataFusion and Arrow for query, Postgres for metadata. | Elasticsearch stores and searches telemetry; Kibana provides visualization and management, with agents and optional supporting components. |
| Deployment | Self-hosted standalone or multi-role deployment with Kubernetes manifests. | Elastic documents Serverless, Hosted, self-managed, ECK, and ECE deployment options. |
| Signals and query | Logs, metrics, traces, and profiles with SQL and a PromQL subset. | Logs, metrics, traces, user experience, profiling, and more with Elasticsearch search, ES|QL, Discover, and other solution views. |
| OpenTelemetry | OTLP HTTP/gRPC is a native intake path alongside compatibility endpoints. | Elastic documents native OpenTelemetry support and its Elastic Distribution of OpenTelemetry. |
| Licensing | The open-source core is Apache 2.0. | Elastic’s default distribution is under ELv2; source options also include SSPL and AGPLv3 as documented by Elastic. |
| Operational scope | One observability product centered on telemetry intake, query, retention, alerting, and investigation. | Elasticsearch, Kibana, agents, index and data lifecycles, deployment topology, plus optional search, security, ML, and enterprise products. |
Migration
Elastic often serves use cases beyond observability. Separate those before judging a migration.
Inventory which Elastic indices are observability data and which support search, security, or business applications.
Mirror one OTLP service and one representative log stream into MoleSignal.
Rebuild its dashboard, alert, retention policy, and incident drill-down.
Compare only the observability slice; keep non-observability Elasticsearch workloads out of the initial decision.
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.
Keep OpenTelemetry data on object storage and add first-class profiles without making ClickHouse a core dependency.
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.