Compare · Elastic Observability
Focused observability or a broader data platform
Both can be self-managed and both support OpenTelemetry. Storage architecture, product breadth, licensing, and operational scale are the key differences.
| Decision point | molesignal | Elastic Observability |
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| 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. |
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| Deployment | Self-hosted standalone or multi-role today; a managed Cloud edition is planned. | Elastic documents Serverless, Hosted, self-managed, ECK, and ECE deployment options. |
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| 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. |
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| OpenTelemetry | OTLP HTTP/gRPC is a native ingest path alongside compatibility endpoints. | Elastic documents native OpenTelemetry support and its Elastic Distribution of OpenTelemetry. |
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| 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. |
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| Maturity and breadth | Pre-1.0 and focused on observability investigation and self-hosting. | Mature platform spanning observability, search, security, integrations, ML, and enterprise operations. |
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