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Grafana vs Matomo

Side-by-side comparison to help you choose the best tool.

Grafana

freemium
Data & Analytics
4.6 / 5.0

Open-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.

Best for: DevOps and engineering teams monitoring infrastructure and application metrics
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Matomo

freemium
Data & Analytics
4.4 / 5.0

Matomo is an open-source, privacy-respecting web analytics platform that can be self-hosted on your own servers, providing full data ownership and GDPR compliance out of the box. It offers a feature-rich alternative to Google Analytics with heatmaps, session recordings, A/B testing, and funnel analysis. Organisations that cannot use cloud analytics due to data sovereignty or privacy requirements rely on Matomo.

Best for: Organisations requiring full data ownership and privacy-compliant analytics
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Feature Comparison
Feature Grafana Matomo
Pricing freemium freemium
Category Data & Analytics Data & Analytics
Rating ★★★★½ 4.6 ★★★★☆ 4.4
Best For DevOps and engineering teams monitoring infrastructure and application metrics Organisations requiring full data ownership and privacy-compliant analytics
Views 117 96
Detailed Attribute Comparison
Attribute Grafana Matomo
Pricing Type freemium freemium
Free Trial No No
API Available No No
Mobile App No No
Rating 4.6 ✓ 4.4
Founded - -
Team Size - -
Deployment - -
Popularity (Views) 117 ✓ 96
Green highlight indicates the stronger value for that attribute.
Pros & Cons — Grafana
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 & Cons — Matomo
Pros
  • Full data ownership with self-hosting option
  • Feature-rich with heatmaps, funnels, and A/B testing
  • Free to self-host with open-source licence
Cons
  • Self-hosting requires server management expertise
  • Cloud version can be expensive at scale
Key Features — Grafana
  • 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
Key Features — Matomo
  • Self-hosted analytics
  • Full data ownership
  • Heatmaps and session recordings
  • A/B testing
  • GDPR compliance tools
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