IBM QRadar vs ArcSight: SIEM Comparison (2026)
An independent side-by-side comparison of IBM QRadar and ArcSight for siem buyers — pricing, features, integrations, and how often each is cited by major AI engines.
AI Citation Scorecard
How often each is cited by major AI engines when buyers ask siem questions. Last 90 days across ChatGPT, Perplexity, Gemini, Claude, and Copilot.
IBM QRadar leads overall — 53% cited vs ArcSight 0% across 60 probes.
ChatGPT
IBM QRadarLeads
4 / 6 probes
67%
ExcellentArcSight
0 / 6 probes
0%
InvisiblePerplexity
IBM QRadarLeads
4 / 6 probes
67%
ExcellentArcSight
0 / 6 probes
0%
InvisibleGemini
IBM QRadar
0 / 6 probes
0%
InvisibleArcSight
0 / 6 probes
0%
InvisibleClaude
IBM QRadarLeads
4 / 6 probes
67%
ExcellentArcSight
0 / 6 probes
0%
InvisibleCopilot
IBM QRadarLeads
4 / 6 probes
67%
ExcellentArcSight
0 / 6 probes
0%
InvisibleScale:NoneLowFairStrongExcellent
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
IBM QRadar
Feature data is being indexed.
ArcSight
Feature data is being indexed.
When to choose IBM QRadar
Choose IBM QRadar if your team prioritizes its strengths over ArcSight's. Full guidance populates as IBM QRadar's feature data is indexed.
When to choose ArcSight
Choose ArcSight if your team prioritizes its strengths over IBM QRadar's. Full guidance populates as ArcSight's feature data is indexed.