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Uptrace

Uptrace

OpenTelemetry-native APM that unifies traces, metrics, and logs on top of ClickHouse.

softwareMonitoring & LoggingobservabilityopentelemetryAPM
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Our Verdict

Best for

Engineering teams standardized on OpenTelemetry who want a cheaper, self-hostable alternative to Datadog or New Relic.

Skip if

You want a zero-maintenance SaaS tool and don't want to think about ClickHouse operations.

What is Uptrace?

Uptrace is an application performance monitoring platform built directly on the OpenTelemetry standard, storing data in ClickHouse for fast queries over large volumes. It brings traces, metrics, and logs into a single dashboard with service dependency graphs and RED-metric views (rate, errors, duration), so teams can trace a request across microservices and correlate it with logs and metrics without switching tools. The platform accepts data from OpenTelemetry, Prometheus, Vector, FluentBit, and CloudWatch, and it can run as a managed cloud service or be self-hosted via Docker, Kubernetes, or Ansible. Uptrace ships an MCP server so AI assistants like Claude Code can query telemetry in plain language, and its open-source Community Edition is free forever with no feature caps on self-hosted installs, while Cloud is priced per GB ingested with a free 50 GB/month tier.

SpecificationsAI-estimated

deploymentCloud/SaaS
open source✅ Yes
api available✅ Yes
support optionsCommunity support, GitHub issues, paid support on Cloud plans
key integrationsOpenTelemetry, Prometheus, Vector, FluentBit, AWS CloudWatch

Key Features of Uptrace

Unifies distributed traces, metrics, and logs from OpenTelemetry sources into one correlated dashboard.
Built on ClickHouse for fast aggregation and search over very large telemetry datasets.
Generates service dependency graphs and RED metrics (rate, errors, duration) automatically from trace data.
Accepts data from multiple sources including Prometheus, Vector, FluentBit, and AWS CloudWatch, not just OpenTelemetry.
Provides an MCP server so AI coding assistants can query telemetry data using natural language.
Offers a free, feature-complete self-hosted Community Edition alongside a managed Cloud option.
Deploys via Docker, Kubernetes, or Ansible for teams that want full control of their observability data.

Use Cases for Uptrace

1

Microservice tracing

Follow a single request across dozens of services to pinpoint latency and errors.

2

Cost-conscious observability migration

Replace expensive per-seat APM tools with per-GB OpenTelemetry-native pricing.

3

Self-hosted compliance requirements

Run observability entirely in-house when data residency rules prevent cloud SaaS use.

4

AI-assisted debugging

Query traces and logs in natural language through the MCP server during an incident.

Pros & Cons of Uptrace

Pros

  • Free, fully-featured open-source self-hosted edition with no artificial feature caps
  • Per-GB pricing with no per-seat fees keeps cost predictable as team size grows
  • Built on OpenTelemetry standards, avoiding vendor lock-in on instrumentation
  • Unifies traces, metrics, and logs in one place rather than requiring separate tools

Cons

  • Self-hosting requires operating ClickHouse and related infrastructure, adding operational overhead
  • Smaller ecosystem and community than established players like Grafana or Datadog
  • Cloud free tier's 50 GB/month allowance is modest for larger production workloads

Frequently Asked Questions

Is Uptrace open source?

Yes, the Community Edition is open source and free forever for self-hosted use with no feature limits.

How is Uptrace Cloud priced?

Uptrace Cloud charges roughly $0.01 per GB ingested and about $0.025 per million metric datapoints, with a 50 GB/month free tier.

What data sources does Uptrace support?

It accepts OpenTelemetry, Prometheus, Vector, FluentBit, and AWS CloudWatch data.

Can I self-host Uptrace?

Yes, via Docker, Kubernetes, or Ansible, using the free Community Edition.

Pricing Overview

View full pricing →
Freemium

Cloud Free

0

Cloud Pay-as-you-go

0.01 per GB

Self-Hosted Community Edition

0

Reviews & Ratings0.0

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About the Product

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Platforms
WebLinux
Target AudienceEngineering teams wanting OpenTelemetry-native APM at lower cost than Datadog or New Relic

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Tags

observabilityopentelemetryAPMtracingopen-source

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