Datadog vs Langfuse

Datadog

Langfuse

Datadog · 19 features

• APM — Distributed tracing + service catalog + code hotspots.
• Application Security — Runtime attack detection, threat intelligence, IAST.
• CI Visibility — Test + pipeline performance analytics.
• Cloud SIEM — Security events correlation, detection rules, audit trails.
• Continuous Profiler — Always-on CPU, memory, lock profiling in production.
• Dashboards — Pre-built + custom dashboards.
• Database Monitoring — Slow query detection for Postgres, MySQL, Mongo, Oracle, SQL Server.
• Incident Management — Built-in incident response with postmortems.
• Infrastructure Monitoring — Host, container, k8s metrics. 700+ integrations. Live process + container maps.
• LLM Observability — OpenAI, Anthropic, etc. trace + cost + prompt eval.
• Log Management — Ingest any logs, structured or raw. Pipelines, parsing, archives to S3.
• Monitors — Anomaly, forecast, outlier, composite monitors.
• Network Performance Monitoring — Packet-level analysis, flow monitoring.
• Notebooks — Runbook-style dashboards with queries + docs.
• Real User Monitoring — Frontend performance, JS errors, user sessions, Core Web Vitals.
• Serverless Monitoring — AWS Lambda, Google Cloud Functions, Azure Functions observability.
• Service Catalog — Service inventory with ownership + documentation.
• Synthetics — Synthetic HTTP + browser tests, API tests, mobile tests.
• Workflow Automation — No-code workflows triggered by events.

Langfuse · 16 features

• Annotation Queues — Human reviewers rate traces. Unlimited on Pro+.
• Dashboards — Aggregate metrics, cost, quality across projects.
• Datasets — Curate test sets from production traces. Run experiments.
• EU Cloud Region — GDPR-compliant hosting in EU.
• Evaluations — LLM-as-judge, manual scores, custom model-graded evaluators.
• LLM Cost Tracking — Automatic cost calculation per provider/model.
• OpenTelemetry Native — OTel SDK → Langfuse endpoint works out of box.
• Playground — Test prompts + models + variables live.
• Prompt Management — Version, tag, label prompts. Reference from code by label.
• Public API — Full REST API for ingest, query, prompt management.
• Python @observe decorator — One-line decorator to trace any function.
• Self-Hosting — Docker Compose + k8s Helm chart.
• Sessions — Group related traces (conversations, agent runs).
• Tracing — Capture every LLM call, tool call, nested span with inputs/outputs/cost.
• Users Tracking — Segment traces by user ID, track per-user cost.
• Webhooks — Subscribe to trace completion events.