---
title: 'Logfire vs SigNoz: Observability That Just Works'
description: Compare Logfire and SigNoz. See why teams choose Logfire for managed observability with AI-first features and zero infrastructure to manage.
canonical: https://pydantic.dev/logfire/vs-signoz
last-reviewed: 2026-07-13
---

> Markdown version of [Logfire vs SigNoz](https://pydantic.dev/logfire/vs-signoz) — the canonical HTML page.
>
> Site index: [/llms.txt](https://pydantic.dev/llms.txt)

---

# Logfire vs SigNoz

SigNoz is powerful but requires maintenance. Logfire gives you the same insights with zero infrastructure to manage. Get observability in minutes, not weeks.

[Try Logfire free](https://logfire.pydantic.dev/)

## Quick comparison

| Feature                | Logfire                           | SigNoz                                     |
| ---------------------- | --------------------------------- | ------------------------------------------ |
| Platform               | Managed SaaS (no infra to manage) | Open-source, self-host or cloud            |
| Setup                  | 3 lines of code                   | Deploy collectors, configure OTel          |
| AI/LLM Support         | Native, one function call         | No native feature (custom setup)           |
| SDKs                   | First-class Python, JS, Rust      | No SDKs (standard OTel only)               |
| Maintenance            | Zero (we handle it)               | You manage ClickHouse, collectors, storage |
| Pricing                | Free 10M/mo, then $2/M spans      | "Free" + infrastructure costs              |
| Infrastructure Metrics | App-focused (traces & logs)       | Full-stack (including Prometheus-style)    |

## Why teams choose Logfire

### Managed vs Self-Hosted

SigNoz is open-source and self-hostable. This gives you full control but means deploying and managing ClickHouse, running OTel collectors, handling upgrades, scaling, and availability. Logfire is fully managed: zero infrastructure, automatic scaling and upgrades, enterprise-grade availability. Focus on your application, not your monitoring.

### Developer Velocity

Logfire setup: `import logfire; logfire.configure(); logfire.instrument_openai()`. Three lines, and you're observing AI calls. SigNoz requires deploying collectors, configuring OpenTelemetry pipelines, and managing infrastructure. When something isn't working, which would you rather debug?

### First-Class AI Support

SigNoz has no native AI observability. You'd need to set up OpenLLMetry or custom instrumentation, configure span attributes manually, and build your own dashboards. Logfire has purpose-built LLM panels for conversations and tool calls, with automatic token tracking and cost monitoring.

### True Cost Comparison

SigNoz "free" doesn't include: server costs (ClickHouse is resource-intensive), engineering time for setup and maintenance, on-call burden for your monitoring infrastructure, or opportunity cost of not building features. Logfire pricing is transparent: free tier of 10M spans, then $2/million. No hidden costs.

## Which should you choose?

### Choose Logfire if...

- You want observability in minutes, not weeks
- You don't want to maintain monitoring infrastructure
- You're building AI applications and need first-class AI observability
- You want three lines of code, not a deployment project
- You prefer to focus on your app, not your monitoring stack

### Choose SigNoz if...

- You must self-host for strict data residency requirements
- You need infrastructure metrics alongside APM
- You have a DevOps team ready to manage the stack
- You want full control and customization of your observability infrastructure

## FAQ

**Is SigNoz really free?**
SigNoz is open-source and free to self-host, but the "free" doesn't include: server costs (ClickHouse is resource-intensive), engineering time for setup and maintenance, on-call burden for your monitoring infrastructure, or opportunity cost of not building features. Logfire's pricing is transparent: free tier of 10M spans, then $2/million.

**How is setup different?**
Logfire: three lines of code (`import logfire; logfire.configure(); logfire.instrument_openai()`). SigNoz: deploy collectors, configure OpenTelemetry, manage ClickHouse. When something isn't working, Logfire means looking at 3 lines of config; SigNoz means debugging your collector pipeline.

**Can I use Logfire SDK with SigNoz?**
Yes! The Logfire SDK can send data to any OpenTelemetry-compatible backend, including SigNoz. If you like our SDK's simplicity but want to run your own backend, you can use the Logfire SDK with SigNoz's backend.

**Does Logfire support infrastructure metrics?**
Logfire focuses on application and AI observability (traces, logs, LLM monitoring). For Prometheus-style infrastructure metrics, you can use SigNoz or any OTel-compatible metrics solution alongside Logfire.

**What about AI/LLM observability?**
SigNoz has no native AI observability. You'd need to set up OpenLLMetry or custom instrumentation, configure span attributes manually, and build your own dashboards. Logfire has first-class AI support: one function call instruments OpenAI, Anthropic, LangChain, etc., with purpose-built LLM panels and automatic token tracking.

## Ready to switch from SigNoz?

Get started with 10 million free spans per month. No credit card required.

Start free: https://logfire.pydantic.dev/ — [View pricing](https://pydantic.dev/pricing)

---

See also: [Logfire alternatives](https://pydantic.dev/logfire/alternatives) ([markdown](https://pydantic.dev/logfire/alternatives.md)), [Pydantic Logfire](https://pydantic.dev/logfire) ([markdown](https://pydantic.dev/logfire.md)), and [pricing](https://pydantic.dev/pricing.md).