Datadog Cloud SIEM vs Microsoft Sentinel and Microsoft 365 Defender: Side-by-Side Comparison (2026)

Datadog Cloud SIEM

Security teams already running Datadog for infrastructure and application observability should adopt Cloud SIEM to correlate security events with the underlying systems generating them; this eliminates the blind spot of traditional SIEMs that ingest logs in isolation. The platform covers continuous monitoring and incident response (NIST DE.CM and RS.MA), with multi-cloud log ingestion across AWS, Azure, and GCP built in rather than bolted on. Skip this if your priority is forensic depth or compliance reporting; Cloud SIEM is built for detection speed and operational context, not exhaustive audit trails.

Microsoft Sentinel and Microsoft 365 Defender

Enterprise security operations centers already running Microsoft 365 will find Microsoft Sentinel and Microsoft 365 Defender fastest to operationalize because the content repository cuts months off detection engineering, shipping 200+ ready-to-deploy queries and playbooks tuned to Windows, Exchange, and Entra ID threats. The free tier removes cost friction for proof-of-concept, and native integration with Microsoft's own incident response telemetry means less connector plumbing than competing SIEMs. If your environment is multi-cloud with heavy non-Microsoft assets or you need mature threat hunting UX on day one, the learning curve on KQL and the thin coverage outside the Microsoft ecosystem will slow you down.