Datadog vs Sentry

Pick Datadog if you're already running infrastructure monitoring and want AI to query metrics, logs, and traces in one place. Its 42 tools cover dashboards, monitors, and incident timelines—useful when your team needs to correlate performance drops with deployments. API key auth is fast to wire up, though you'll manage rotation manually. Pick Sentry if error tracking and release health are your priority. The 50 tools let AI pull stack traces, assign issues, and check deploy impact on crash rates. OAuth2 means smoother onboarding for larger teams, but initial setup takes an extra afternoon. If you're debugging application errors, go Sentry. If you're chasing latency or cost spikes across services, go Datadog. Switching after six months means re-training your AI workflows and migrating any automated triage logic—budget two to three days if you've built custom integrations around either MCP's tool surface.