Grafana vs Exabeam
Side-by-side comparison to help you choose the best tool.
Grafana
freemiumOpen-source observability and dashboarding platform with AI anomaly detection, multi-source data integration, and beautiful time-series visualisations. Grafana is the industry standard for monitoring infrastructure, applications, and business metrics with real-time streaming data support. Its ML-powered anomaly detection and forecasting features help teams proactively identify issues before they impact users.
Exabeam
paidAI-driven security information and event management platform with behavioural analytics that detects insider threats and account compromise through user behaviour baselining. Exabeam builds timelines of user and entity activity to surface anomalous behaviour that traditional rule-based SIEM systems miss. The platform automates investigation and response through pre-built playbooks and smart timelines.
| Feature | Grafana | Exabeam |
|---|---|---|
| Pricing | freemium | paid |
| Category | Data & Analytics | Data & Analytics |
| Rating | 4.6 | 4.4 |
| Best For | DevOps and engineering teams monitoring infrastructure and application metrics | Security operations teams focused on insider threat detection and user behaviour analytics |
| Views | 118 | 86 |
| Attribute | Grafana | Exabeam |
|---|---|---|
| Pricing Type | freemium ✓ | paid |
| Free Trial | No | No |
| API Available | No | No |
| Mobile App | No | No |
| Rating | 4.6 ✓ | 4.4 |
| Founded | - | - |
| Team Size | - | - |
| Deployment | - | - |
| Popularity (Views) | 118 ✓ | 86 |
Pros
- Best-in-class time-series dashboarding
- Huge plugin ecosystem
- Strong open-source community
Cons
- Primarily designed for technical/DevOps use cases
- Business intelligence features are limited
Pros
- Excellent insider threat and account compromise detection
- Smart timelines dramatically speed up investigations
- Strong integration with existing security tools
Cons
- Requires significant data ingestion for accurate baselines
- Complex initial configuration and tuning process
- AI-powered anomaly detection and forecasting
- Real-time time-series visualisation
- 80+ data source plugins
- Alerting and on-call management
- Unified observability with Loki and Tempo
- User and entity behaviour analytics (UEBA)
- Smart timeline investigation views
- AI-powered threat detection rules
- Automated incident response playbooks
- Cloud-native SIEM capabilities
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