Overview

Rating

10.0 / 10

Rating

Best For

AI teams building and testing LLM-powered agents

Best For

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

Product Summary

Open-source LLMOps platform for testing, evaluating, and monitoring AI agents. Differentiated by multi-turn agent simulation testing.

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

Starting Price

Free

Free Trial

Yes

Free Trial

Free Version

Yes

Free Version

Yes

Website

langwatch.ai

Website

openobserve.ai

Key features

Core capabilities each platform advertises.

LangWatch

Multi-turn agent simulation testing
LLM evaluation with custom evaluators
OpenTelemetry-native tracing
Prompt & model management
Dataset management from production traces

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.

LangWatch

Pros

Unique agent simulation testing via Scenario framework — enables multi-turn, stateful agent testing unmatched by LangSmith or Langfuse
Fully open-source with MIT license and no feature gating on self-hosted deployments
All-in-one platform combining tracing, evaluation, prompt management, and PII redaction
Framework-agnostic with OpenTelemetry-native integration across all major agent frameworks
Enterprise-ready with ISO 27001, SOC2, GDPR compliance, and on-prem deployment options

Cons

Very small team (~5 employees) with only EUR 1M pre-seed — long-term viability less proven than well-funded competitors
Smaller community and fewer tutorials compared to LangSmith or Langfuse ecosystems
Self-hosting requires Kubernetes/Helm for production with known issues on reverse proxy deployments
Only supports LLM-as-a-judge evaluations — no heuristic or rule-based evaluation options

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

LangWatch or OpenObserve — which should you choose?

Choose LangWatch if you wantChoose if you want

Agent testing before deployment
Hallucination detection
Regression testing for LLM apps
Production monitoring
Prompt optimization

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 LangWatch 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.

Try Respan free

LangWatch vs OpenObserve (2026)

Overview

Key features

Strengths and tradeoffs

LangWatch or OpenObserve — which should you choose?

Compare LangWatch and OpenObserve on your own traffic

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