Features, pricing, ratings, and pros and cons, compared head to head.
Gravwell Security Data Platform is a commercial security information and event management tool by Gravwell. Microsoft Sentinel and Microsoft 365 Defender is a free security information and event management tool. Compare features, ratings, integrations, and community reviews side by side to find the best security information and event management fit for your security stack. Independent and vendor-neutral: we never sell rankings.
Based on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion:
Gravwell Security Data Platform
Security teams in mid-market and enterprise environments that need to hunt threats across raw, unnormalized data will get the most from Gravwell Security Data Platform; its structure-on-read architecture and unlimited ingest capacity let you ask questions you didn't know to ask during onboarding, which matters when you're chasing adversaries through hybrid infrastructure. The indexer-based pricing model removes the typical volume penalty, and coverage of Detect and Analyze functions (DE.CM, DE.AE, RS.AN) reflects genuine strength in threat investigation rather than just log storage. Skip this if you need a fully managed cloud SIEM with pre-built compliance dashboards or if your team lacks SQL-adjacent query skills; Gravwell rewards operators who think like hunters, not security analysts who want point-and-click threat detection.
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.
Security data platform for log analysis, metrics, and threat hunting
Unified repository for Microsoft Sentinel and Microsoft 365 Defender containing security content, detections, queries, playbooks, and resources to secure environments and hunt for threats.
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Common questions about comparing Gravwell Security Data Platform vs Microsoft Sentinel and Microsoft 365 Defender for your security information and event management needs.
Gravwell Security Data Platform: Security data platform for log analysis, metrics, and threat hunting. built by Gravwell. Core capabilities include Structure-on-read data lake architecture, Raw data ingestion without normalization requirements, PCAP network capture support..
Microsoft Sentinel and Microsoft 365 Defender: Unified repository for Microsoft Sentinel and Microsoft 365 Defender containing security content, detections, queries, playbooks, and resources to secure environments and hunt for threats..
Both serve the Security Information and Event Management market but differ in approach, feature depth, and target audience.
Gravwell Security Data Platform is developed by Gravwell. Microsoft Sentinel and Microsoft 365 Defender is open-source with 5,526 GitHub stars. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.
Gravwell Security Data Platform and Microsoft Sentinel and Microsoft 365 Defender serve similar Security Information and Event Management use cases: both are Security Information and Event Management tools, both cover Log Management. Key differences: Gravwell Security Data Platform is Commercial while Microsoft Sentinel and Microsoft 365 Defender is Free, Microsoft Sentinel and Microsoft 365 Defender is open-source. Review the feature comparison above to determine which fits your requirements.
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