Datadog Cloud SIEM vs Realm Security: 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.

Realm Security

Mid-market and enterprise security teams drowning in firewall and endpoint logs will find real value in Realm Security's ability to normalize and filter data before it reaches your SIEM, cutting ingestion costs and noise in one step. The platform's native Palo Alto integration and format normalization eliminate the need to write custom parsers, saving weeks of implementation time. Skip this if you need deep threat hunting or investigation capabilities; Realm Security excels at the unglamorous work of data pipeline hygiene, not detection enrichment.