Sentry AI vs Grafana AI
A direct comparison using the real catalog fields currently available for both products.
Last updated
Sentry AI
Sentry
Grafana AI
Grafana Labs
Free plan (5K errors/month). Team $26/month. Business $80/month. Enterprise custom. Open source self-hosted available.
Open source Grafana is free. Grafana Cloud free tier (50GB metrics, 50GB logs). Pro $299/month. Enterprise custom.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements. Self-hosted option for sensitive code data.
SOC 2 Type II. GDPR compliant. Open source self-hosted option. Grafana Cloud enterprise data handling agreements.
Error events and stack traces transmitted to Sentry's cloud for AI analysis. Self-hosted open source deployment keeps all error data on customer infrastructure. Review Sentry's privacy policy for PII in error events.
Grafana Cloud transmits metric, log, and trace data to Grafana Labs infrastructure. Self-hosted Grafana keeps all observability data on customer infrastructure — preferred option for sensitive data.
- ✓Most widely deployed error monitoring — enormous ecosystem of integrations and community resources
- ✓Autofix AI-suggested bug fixes reduce mean time to resolve for common error patterns
- ✓Open source self-hosted option for teams with code security requirements
- ✓Free plan with 5K errors enables individual developers and small teams without payment
- ✓Most widely deployed open source observability dashboard — largest plugin ecosystem and community
- ✓ML anomaly detection without static threshold configuration for complex metric patterns
- ✓Free tier and open source option provide access at no cost for teams of all sizes
- ✓Unified visualisation across any monitoring source regardless of underlying tool
- ✕Free plan 5K errors/month insufficient for medium to large production applications
- ✕AI fix suggestions require code repository connection — limited without source code access
- ✕Error monitoring is well-understood — value from AI features requires adoption beyond basic alerting
- ✕AI features require Grafana Cloud — self-hosted lacks ML features without cloud connectivity
- ✕Dashboard setup requires configuration expertise — not as turnkey as commercial observability platforms
- ✕Competing with Datadog and New Relic who provide integrated observability without configuration overhead
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