Grafana vs Logstash: Key Differences & When to Use Each

Comprehensive side-by-side comparison of features, pricing, and metrics

Key Differences

Compare Grafana and Logstash across features, pricing, integrations, and community metrics. Grafana / Logstash.

Feature

Grafana

Monitoring

Logstash

Logging

Side-by-side comparison of developer tools
The open and composable observability and data visualization platform
Server-side data processing pipeline
GitHub Stars
⭐ 73,569
⭐ 14,845
Contributors
👥 3,006
👥 613
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
TypeScript
Java
Features
  • • Alerting
  • • Analytics
  • • Business Intelligence
  • • Dashboard
  • • Data Visualization
  • • Etl Framework
  • • Java
  • • Jruby
  • • Logging
  • • Real Time Processing
Integrations
  • • prometheus
  • • grafana
  • • elasticsearch
No integrations listed
Momentum Score
94/100 (stable)
47/100 (stable)
Community Health
95/100 (excellent)
34/100 (needs-attention)
Maturity Index
90/100 (mature)
50/100 (emerging)
Innovation Score
95/100 (pioneering)
52/100 (evolving)
Risk Score (higher is safer)
94/100 (minimal)
53/100 (low)
Developer Experience
80/100 (good)
54/100 (needs-improvement)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Grafana Strengths

  • ✓ More popular (73,569 stars)
  • ✓ Larger community (3,006 contributors)

Logstash Strengths

When to Use Grafana vs Logstash

Use Grafana when its strengths align better with your stack and team needs, and choose Logstash when its ecosystem, integrations, or cost profile is a better fit.

Related comparisons

Grafana vs Prometheus → Logstash vs Vector → Grafana vs Loki → Logstash vs Fluentd → Grafana vs Jaeger → Logstash vs Fluent Bit → Grafana vs Zipkin → Logstash vs Elasticsearch → Grafana vs VictoriaMetrics → Logstash vs Redis → Grafana vs Thanos → Logstash vs Prometheus →

More Comparisons

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Data source: GitHub API

Last updated: 5/4/2026