Splunk AI vs FullStory
Side-by-side comparison to help you choose the best tool.
Splunk AI
paidAI features across Splunk's data platform including AI alerting, anomaly detection, natural language search, and automated incident response for security operations. Splunk AI Assistant enables analysts to generate SPL queries using natural language, reducing the technical barrier to security investigations. The platform processes massive volumes of machine data to surface clear security data.
FullStory
freemiumFullStory is a digital experience intelligence platform that captures every user interaction and uses AI to surface friction, drop-off points, and bugs across web and mobile. Its AI features include auto-generated session data, frustration signal detection, and DX Data - a structured dataset derived from behavioural signals. FullStory bridges the gap between quantitative analytics and qualitative session replay.
| Feature | Splunk AI | FullStory |
|---|---|---|
| Pricing | paid | freemium |
| Category | Data & Analytics | Data & Analytics |
| Rating | 4.6 | 4.5 |
| Best For | Large enterprises needing flexible security analytics and SIEM across massive data volumes | Product and engineering teams wanting complete session capture with AI insight generation to identify and fix UX friction |
| Views | 76 | 65 |
Pros
- Extremely flexible and powerful data analytics
- Massive ecosystem of integrations and apps
- Strong community and enterprise support
Cons
- Licensing costs scale significantly with data volume
- Steep learning curve for SPL query language
Pros
- Captures every interaction without sampling
- AI frustration detection identifies UX problems automatically
- DX Data enables analytics on behavioural signals
Cons
- Can be expensive at enterprise scale
- Full capture creates large data volumes to manage
- AI-powered anomaly detection
- Natural language search with AI Assistant
- Machine learning toolkit for custom models
- Automated SOAR integration
- Real-time security monitoring dashboards
- Full session capture & replay
- AI frustration signal detection
- DX Data structured behavioural dataset
- Funnel & conversion analysis
- Error tracking integration