LangSmith vs Datadog

LangSmith

Datadog

LangSmith · 14 features

• Alerts — Threshold alerts on latency, cost, eval metrics.
• Annotation Queues — Human-review workflows for trace quality rating.
• Custom Dashboards — Aggregate metrics dashboards per project/tag.
• Datasets — Collect examples → use as eval sets or training data.
• Evaluations — LLM-as-judge, embedding similarity, custom Python evaluators, offline batch eval…
• LangChain Integration — Auto-trace any LangChain/LangGraph run with env var.
• LangGraph Integration — First-class trace + eval for LangGraph agents.
• LLM Tracing — Automatic trace every LLM call + tool call + chain step.
• OpenTelemetry Export — Export traces as OTLP to Datadog/Honeycomb/etc.
• Playground — Test prompts + models inline before deploying.
• Prompt Canvas — Visual prompt editor with live test + eval.
• Prompt Hub — Public + private prompt library with versioning.
• Self-Hosted (Enterprise) — Docker + k8s deployment in your infra.
• Threads + Sessions — Group traces into conversational sessions.

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.