
OpenTelemetry-native observability platform for traces, metrics, and logs
Uptrace is an open-source APM and observability platform built natively on OpenTelemetry and powered by ClickHouse. It unifies distributed traces, metrics, and logs in a single system with rich dashboards, service maps, alerting, and a powerful query language for fast root cause analysis.
Track requests across microservices with OpenTelemetry-native distributed tracing, processing over 10K spans per second on a single core.
Ingest and visualize metrics from OpenTelemetry, Prometheus, and other sources with support for active timeseries tracking and pre-aggregation.
Collect and analyze logs from FluentBit, Vector, CloudWatch, and more alongside traces and metrics for unified observability.
Visualize application topology and dependencies with auto-generated service maps and customizable dashboards.
Set up alerts with notifications via email, Slack, Telegram, webhooks, and other integrations for proactive incident response.
Analyze telemetry data with a flexible query language designed for fast analytical queries powered by ClickHouse.
Enterprise-grade authentication with OIDC and SAML Single Sign-On support for secure team access management.
Track requests across distributed microservices architectures with end-to-end distributed tracing and automatic service dependency mapping.
Replace expensive commercial APM tools like Datadog or Splunk with Uptrace's open-source platform at a fraction of the cost while maintaining full observability coverage.
Deploy on-premises for organizations with strict data compliance requirements that need full control over telemetry data and infrastructure.
Ideal backend for teams already invested in OpenTelemetry instrumentation who want a native OTLP-compatible observability platform without vendor lock-in.
Best for microservices teams that need deep distributed trace analysis with automatic service maps and pattern detection
Best lightweight option — delivers full-stack observability with minimal operational overhead and the best data compression ratio for cost-effective long-term retention.
Deploy on-premises or in private clouds using Docker or Kubernetes with no feature limits and full data ownership.
Excellent on-disk compression reduces a 1KB span to approximately 40 bytes, enabling cost-effective long-term data retention.
Gain code-level performance insights in production to identify bottlenecks and optimize application performance.
Enable faster root cause analysis with correlated traces, metrics, and logs plus alerting integrations for proactive incident management.

AI workflow automation with code flexibility and self-hosting