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MoleSignal
Compare · OpenObserve

MoleSignal vs OpenObserve

OpenObserve and MoleSignal share Rust, Parquet, object storage, SQL, PromQL, and browser observability. The differences are sharper: OpenObserve uses an AGPL/commercial-license split, adds NATS to HA, and does not list continuous profiles as a primary signal.

Compare · OpenObserve

Similar storage, different freedoms and dependencies

Both use columnar object storage and familiar query languages. Apache 2.0, continuous profiling, and the number of HA dependencies become the practical separators.

Decision pointMoleSignalOpenObserve
Core architectureRust, Parquet object storage, DataFusion/Arrow query, Postgres metadata, and role-based scale-out.Rust, Parquet object storage, single-node mode, or HA roles with PostgreSQL and NATS.
SignalsLogs, metrics, traces, continuous profiles, RUM sessions and errors, Web Vitals, and interactive Session Replay.Official docs cover logs, metrics, traces, RUM/session replay, error tracking, LLM observability, dashboards, alerts, and pipelines.
QueryDataFusion SQL for columnar telemetry and a PromQL subset for metrics.SQL for logs and traces, with SQL or PromQL for metrics.
ProfilesDedicated continuous-profiling product surface with pprof, Pyroscope-compatible, and OTLP Profiles intake.OpenObserve’s current official feature overview does not list continuous profiles as a primary signal product.
LicenseApache License 2.0.Open-source edition under AGPL-3.0; enterprise edition uses a commercial agreement.
HA dependenciesRole-based scale-out uses Postgres, object storage, and intake WAL without a separate cluster-coordination service.Official HA architecture requires Kubernetes, object storage, PostgreSQL, NATS, and at least Router, Intake, Compactor, Querier, and AlertManager roles.

Why MoleSignal stands out

  • Apache 2.0 is a firm source-code or redistribution requirement.
  • Continuous profiling must connect to traces and the active investigation.
  • Browser sessions must connect to backend traces while replay data stays on storage you control.
  • You prefer the DataFusion and Arrow query stack.
  • You want the profiling and browser investigation paths in the same focused self-hosted product.

Trade-offs to check: OpenObserve

  • The open-source edition uses AGPL-3.0; enterprise use may introduce a commercial license review.
  • HA adds NATS, PostgreSQL, Kubernetes, and five distinct application roles.
  • The official feature overview does not list continuous profiles as a primary signal product.
  • Cloud, pipelines, and enterprise breadth create a larger product and edition surface to evaluate.

Migration

Test the differences, not the similarities

A basic intake demo will look similar. Use the evaluation to test the workflows and governance questions that actually separate the products.

  1. 01

    Send the same OTLP and Prometheus workload to both systems.

  2. 02

    Compare HA dependencies, retention controls, and object-storage operations.

  3. 03

    Send the same browser workload to both and compare Session Replay, privacy controls, error-to-session navigation, and RUM-to-trace investigation end to end.

  4. 04

    Review Apache 2.0 and AGPL-3.0 with your legal or open-source governance team before deciding.

Official sources

Sources and freshness

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.

Compare · OpenObserve

Run the comparison with your own telemetry.

Start the self-hosted sandbox, send a representative OTLP workload, and test the investigation path your team uses during a real incident.