Fluentd vs Logstash: Key Differences & When to Use Each

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

Key Differences

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

Feature

Fluentd

Logging

Logstash

Logging

Side-by-side comparison of developer tools
Unified logging layer
Server-side data processing pipeline
GitHub Stars
⭐ 13,551
⭐ 14,873
Contributors
👥 284
👥 614
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Ruby
Java
Features
  • • Cncf
  • • Data Collector
  • • Fluentd
  • • Logging
  • • Ruby
  • • Etl Framework
  • • Java
  • • Jruby
  • • Logging
  • • Real Time Processing
Integrations
No integrations listed
No integrations listed
Momentum Score
36/100 (stable)
43/100 (stable)
Community Health
24/100 (needs-attention)
34/100 (needs-attention)
Maturity Index
28/100 (experimental)
50/100 (emerging)
Innovation Score
29/100 (traditional)
52/100 (evolving)
Risk Score (higher is safer)
29/100 (high)
53/100 (low)
Developer Experience
36/100 (poor)
54/100 (needs-improvement)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Fluentd Strengths

Logstash Strengths

  • ✓ More popular (14,873 stars)
  • ✓ Larger community (614 contributors)

When to Use Fluentd vs Logstash

Use Fluentd 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

Fluentd vs Vector → Logstash vs Vector → Fluentd vs Fluent Bit → Logstash vs Fluent Bit → Fluentd vs Loki → Logstash vs Elasticsearch → Fluentd vs Datadog Agent → Logstash vs Redis → Logstash vs Grafana → Logstash vs Prometheus →

More Comparisons

View Fluentd → View Logstash → Search More Tools →

Data source: GitHub API

Last updated: 6/12/2026