OpenObserve vs Opik
A side-by-side comparison of OpenObserve and Opik, two Observability tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
OpenObserve
ObservabilityOpen-source observability for logs, metrics, traces and LLMs in one platform.
View OpenObserveAt a glance
| Attribute | OpenObserve | Opik |
|---|---|---|
| Category | Observability | Observability |
| Pricing | FREEMIUM | FREEMIUM |
| License | Open core | Open core |
| Deployment | Hybrid | Hybrid |
| Platforms (differs) | Web, API, CLI | Web, API |
| Model support (differs) | Model-agnostic | BYO key / model |
| Vendor (differs) | OpenObserve Inc. | Comet |
| Capabilities (differs) |
|
|
The honest brief
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
Opik
Fully self-hostable, pairing call tracing with built-in LLM-as-judge evals — own the stack or use Comet cloud.
- Self-host via Docker/Kubernetes
- Tracing plus evals in one tool
- Prompt management and dashboards
- Framework-agnostic integrations
- Younger than some rivals
- Hosted tier tied to Comet
- Self-host needs ops effort
- Smaller ecosystem than LangSmith
When to pick which
Both cover LLM observability.
Pick OpenObserve if you need MCP server and Text-to-SQL.
- MCP server (secondary capability)
- Text-to-SQL (secondary capability)
Pick Opik if you need LLM evaluation, Prompt management, and Guardrails.
- LLM evaluation (primary capability)
- Prompt management (secondary capability)
- Guardrails (secondary capability)
They also differ on:
- Platforms
- Web, API, CLI · Web, API