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Introducing Span-02

Phoenix vs Sentry (2026)

Updated March 10, 2026

vs

Overview

Rating
10.0 / 10
Rating
10.0 / 10
Best For
Engineering teams building agent and RAG systems who want OpenTelemetry-native observability with both self-hosted and managed options
Best For
—
Product Summary

Phoenix is an open-source LLM observability and evaluation platform from Arize AI. It supports OpenTelemetry-based tracing across LLM and agent applications, with built-in evaluators, dataset management, and prompt playgrounds. Phoenix can be self-hosted with Docker or run via the Arize-hosted cloud version.

Product Summary

Sentry provides runtime error monitoring and performance observability for AI applications. Its LLM monitoring capabilities track model calls, token usage, and latency alongside traditional error tracking. Sentry helps teams catch and debug issues in production AI pipelines with detailed stack traces and context.

Starting Price
Open Source
Starting Price
$0Per month
Free Trial
No
Free Trial
Yes
Free Version
No
Free Version
Yes
Website

Key features

Core capabilities each platform advertises.

PhoenixPhoenix
  • OpenTelemetry-based LLM and agent tracing
  • Built-in evaluators for hallucination and relevance
  • Dataset and experiment management
  • Prompt playgrounds and versioning
  • Self-hosted Docker deployment or Arize cloud
SentrySentry
Data not available

Strengths and tradeoffs

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

PhoenixPhoenix

Pros

  • Open-source with active development by Arize
  • OpenTelemetry-native (no proprietary trace format lock-in)
  • Strong evaluator library out of the box
  • Both self-hosted and managed cloud options available
  • Upgrade path to full Arize enterprise platform

Cons

  • Smaller community than Langfuse for open-source-first teams
  • Cloud version's enterprise pricing is contact-sales only
  • UI and feature set tilt toward ML engineers more than application developers
SentrySentry

Pros

  • Developer-friendly platform
  • Production-ready
  • Good performance
  • Active development

Cons

  • Enterprise pricing varies
  • Setup complexity
  • Learning curve

Phoenix or Sentry — which should you choose?

Choose Phoenix if you want

  • OpenTelemetry-native LLM observability
  • Hallucination detection for RAG
  • Experiment tracking and golden-set evaluation
  • Prompt iteration and comparison
  • Self-hosted tracing for compliance-sensitive teams

Choose Sentry if you want

Data not available

Compare Phoenix and Sentry 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

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