Langfuse vs OpenObserve
A side-by-side comparison of Langfuse and OpenObserve, two Observability tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Langfuse
ObservabilityOpen-source LLM observability. Self-hostable, OpenTelemetry-native.
View LangfuseOpenObserve
ObservabilityOpen-source observability for logs, metrics, traces and LLMs in one platform.
View OpenObserveAt a glance
| Attribute | Langfuse | OpenObserve |
|---|---|---|
| Category | Observability | Observability |
| Pricing | FREEMIUM | FREEMIUM |
| License | Open core | Open core |
| Deployment | Hybrid | Hybrid |
| Platforms (differs) | API, Web | Web, API, CLI |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Langfuse | OpenObserve Inc. |
| Capabilities (differs) |
|
|
The honest brief
Langfuse
The MIT-licensed, self-hostable answer to LangSmith — own your observability data, framework-agnostic.
- Own your observability data
- Framework-agnostic, OTel-native
- Tracing + evals + prompt mgmt
- Transparent unit-based pricing
- Self-host infra cost at scale
- Less deep LangChain integration
- Setup heavier than hosted-only
OpenObserve
Claims ~140x lower storage cost than Elasticsearch via Parquet columnar storage, and unifies logs, metrics, traces, RUM and LLM observability in one binary.
- Single binary self-host or managed cloud
- Dashboards, alerts, and session replay
- NL query assistant and SRE agent
- Fully open source (AGPL-3.0)
- Trusted by 6,000+ orgs
- AGPL-3.0 can deter some commercial embedding
- Younger ecosystem than Datadog/Grafana
- Enterprise features gated above 50GB/day
When to pick which
Both cover LLM observability.
Pick Langfuse if you need LLM evaluation and Prompt management.
- LLM evaluation (secondary capability)
- Prompt management (secondary capability)
Pick OpenObserve if you need MCP server and Text-to-SQL.
- MCP server (secondary capability)
- Text-to-SQL (secondary capability)
They also differ on:
- Platforms
- API, Web · Web, API, CLI