Uptrace

Uptrace

A tool that shows engineers exactly which part of their app is slow or broken, by collecting traces, metrics and logs from the code in one place — built on the free, open OpenTelemetry standard instead of a proprietary agent.

🔗 Visit Uptrace
📁 Monitoring & Observability🗣️ English📅 August 23, 2026

Description

When something goes wrong in production, the hard part usually isn't knowing that it broke, it's finding out which of a dozen services caused it. Uptrace is built to answer that question fast, by pulling in traces (the path a request takes through your system), metrics (numbers like error rate and latency), and logs into a single view.

Uptrace is an OpenTelemetry-native observability platform built on ClickHouse, aimed at processing high volumes of spans more cheaply than closed competitors. It draws a service graph showing dependencies and bottlenecks, tracks RED metrics (request rate, error rate, latency) and latency percentiles (p50/p90/p99/max), surfaces top errors and log pattern analysis, and supports zero-code instrumentation with SAML/OIDC single sign-on. It ships both as a paid cloud service and as a free, unlimited self-hosted Community Edition.

💬 Our review

The short version: Uptrace's real selling point isn't a feature list — Datadog and New Relic have deeper feature sets — it's that it's built entirely on OpenTelemetry, the open standard, so you're not locked into a proprietary agent, and there's a genuinely free, unlimited self-hosted edition if you want to skip the bill entirely.

On the cloud side, pricing starts generous (50GB/month free) and scales per-GB with volume discounts down to $0.016/GB, which is meaningfully cheaper than Datadog at scale — but Datadog and New Relic still win on breadth of integrations, alerting sophistication, and enterprise support if budget isn't the constraint. For a team that already has OpenTelemetry instrumentation (or is willing to add it) and wants either a cheaper managed option or full control via self-hosting, Uptrace is a strong, low-risk pick; for a team wanting an all-in-one platform with the most mature ecosystem regardless of cost, Datadog remains the safer default.

💰 Pricing

Freemium (cloud) + free self-hostedCloud: free to 50GB/mo, then $0.075/GB (down to $0.016/GB at volume); Community Edition self-hosted is free and unlimited.
Cloud Free 0Community (self-hosted) 0Cloud Pay-as-you-go

📊 Global score

53Average
🌐Availability15/100Faible

1 language · 0 platform

📄Profile90/100Excellent

Profile completeness

🤖 AI-enriched data

💰 Pricing model
🆓 Freemium (cloud) + gratuit illimité (self-hosted)

Cloud : gratuit jusqu'à 50 Go/mois puis 0,075 $/Go (remises volume jusqu'à 0,016 $/Go) ; métriques 0,025 $/million de points ; stockage froid 0,01 $/Go/mois. Édition Community auto-hébergée : gratuite, sans limite.

👥 Target audienceÉquipes d'ingénierie, SRE et DevOps qui veulent de l'observabilité full-stack sans dépendre d'un agent propriétaire
🗣️ Languagesen
🌍 Target countriesWorldwide
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Pros

100% basé sur OpenTelemetry — zéro verrouillage propriétaire, migration facile

Édition self-hosted gratuite et illimitée pour toujours (Community Edition)

Tarification cloud nettement plus agressive que Datadog à volume élevé

Graphe de services, métriques RED et percentiles de latence intégrés

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Cons

Écosystème d'intégrations et de fonctionnalités d'alerting moins mature que Datadog ou New Relic

Nécessite une instrumentation OpenTelemetry déjà en place ou à mettre en œuvre

Auto-hébergement exige de gérer soi-même ClickHouse en production

❓ Frequently asked questions

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