IBM QRadar vs Exabeam: SIEM Comparison (2026)
An independent side-by-side comparison of IBM QRadar and Exabeam 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 Exabeam 50% across 60 probes.
ChatGPT
IBM QRadarLeads
4 / 6 probes
67%
ExcellentExabeam
3 / 6 probes
50%
ExcellentPerplexity
IBM QRadar
4 / 6 probes
67%
ExcellentExabeamLeads
5 / 6 probes
83%
ExcellentGemini
IBM QRadar
0 / 6 probes
0%
InvisibleExabeamLeads
4 / 6 probes
67%
ExcellentClaude
IBM QRadarLeads
4 / 6 probes
67%
ExcellentExabeam
3 / 6 probes
50%
ExcellentCopilot
IBM QRadarLeads
4 / 6 probes
67%
ExcellentExabeam
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.
Exabeam
- ✓AI-driven threat detection
- ✓Behavioral analytics for insiders
- ✓Automated investigations
- ✓Multi-agent AI workflows
- ✓Open platform for flexibility
- ✓Continuous security program optimization
When to choose IBM QRadar
Choose IBM QRadar if your team prioritizes its strengths over Exabeam's. Full guidance populates as IBM QRadar's feature data is indexed.
When to choose Exabeam
Choose Exabeam if your team prioritizes its strengths over IBM QRadar's. Full guidance populates as Exabeam's feature data is indexed.