Overview

Rating

10.0 / 10

Rating

Best For

Teams building long-running AI agents, including browser and coding agents, who need to debug agent runs at scale

Best For

Platform and SRE teams that want infrastructure and LLM telemetry in one open-source observability stack

Product Summary

Laminar is an open-source observability platform for AI agents, with agent tracing, automatic failure detection, evals, and full SQL access to trace data.

Product Summary

OpenObserve is an open-source observability platform for logs, metrics, traces, and LLM apps, priced per GB with no seat or host fees.

Starting Price

Free

Free Trial

Free Version

Yes

Free Version

Yes

Website

laminar.sh

Website

openobserve.ai

Key features

Core capabilities each platform advertises.

Laminar

Agent tracing with a readable transcript view
Signals for automatic failure detection and clustering
Evals and datasets built from production traces
Full SQL access through the editor, CLI, and MCP

OpenObserve

Logs, metrics, traces, RUM, and session replay
OpenTelemetry-native LLM tracing with token and cost tracking
Online evaluations with LLM-judge or remote scorers

Strengths and tradeoffs

What each tool does well, and the limitations to keep in mind.

Laminar

Pros

Apache 2.0 license with Docker and Helm self-hosting
Signals surface failure modes without predefined rules
Every plan includes evals, datasets, SQL access, and the agent debugger

Cons

No prompt management, so prompt versions live in a separate tool
No LLM gateway, so routing, failover, and spend limits need another product
Signals bill by usage on top of the plan, and the free tier gets only a one-time credit
Free tier is limited to 1 project, 1 seat, and 7-day retention

OpenObserve

Pros

Infrastructure and LLM telemetry live in one platform
AGPL-3.0 core, plus a Self-Hosted Enterprise edition free up to 50 GB a day
Per-GB pricing with unlimited users and no seat fees

Cons

LLM evaluations and experiments are enterprise features
No LLM gateway, so routing and failover need a separate tool

Laminar or OpenObserve — which should you choose?

Choose Laminar if you wantChoose if you want

Debugging long-running browser and coding agents
Finding failure patterns across thousands of agent runs
Turning recurring failures into eval datasets

Choose OpenObserve if you wantChoose if you want

Correlating LLM traces with infrastructure telemetry
Replacing a per-host observability bill with per-GB pricing
Self-hosting observability under an open-source license

Compare Laminar and OpenObserve on your own traffic

10KFree traces/mo

1,000+Models

5 minSetup

Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.

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Laminar vs OpenObserve (2026)

Overview

Key features

Strengths and tradeoffs

Laminar or OpenObserve — which should you choose?

Compare Laminar and OpenObserve on your own traffic

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