Arize Phoenix vs Langtrace
Detailed side-by-side comparison to help you choose the right tool
Arize Phoenix
🔴DeveloperBusiness Analytics
Open-source LLM observability and evaluation platform built on OpenTelemetry. Self-host it free with no feature gates, or use Arize's managed cloud.
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FreeLangtrace
🔴DeveloperBusiness Analytics
Open-source observability platform for LLM applications and AI agents with OpenTelemetry-based tracing, cost tracking, and performance analytics.
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FreeFeature Comparison
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Arize Phoenix - Pros & Cons
Pros
- ✓Fully open source with zero feature gates or trace limits
- ✓Built on OpenTelemetry for vendor and framework agnostic integration
- ✓Self-hosted deployment keeps all data under your control
- ✓Kubernetes Helm chart for production-ready cluster deployment
- ✓Evaluation framework for scoring and comparing LLM outputs
- ✓Active community with 12,000+ GitHub stars
Cons
- ✗Documentation lags behind feature development
- ✗UI is functional but less polished than commercial alternatives like LangSmith
- ✗No built-in alerting; requires custom integration with external systems
- ✗Steeper learning curve without guided onboarding
- ✗Self-hosting requires DevOps capacity for maintenance and scaling
Langtrace - Pros & Cons
Pros
- ✓Open-source with generous free tier and self-hosting options
- ✓Built on industry-standard OpenTelemetry for interoperability
- ✓Extensive integration support for LLM providers and frameworks
- ✓Real-time observability with detailed trace visualization
- ✓Complete data ownership with self-hosted deployment option
Cons
- ✗TypeScript SDK has limited framework support compared to Python
- ✗AGPL license may be restrictive for some commercial use cases
- ✗Self-hosted setup requires managing multiple services (Next.js, Postgres, ClickHouse)
- ✗Pricing model scales per-user which can become expensive for larger teams
- ✗Limited semantic conventions as standards are still evolving
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