Grafana vs Apache Spark

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

Feature

Grafana

Monitoring

Apache Spark

Data Processing

Side-by-side comparison of developer tools
The open and composable observability and data visualization platform
Unified analytics engine for large-scale data processing
GitHub Stars
⭐ 72,959
⭐ 43,080
Contributors
👥 2,974
👥 3,407
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
TypeScript
Scala
Features
  • • Alerting
  • • Analytics
  • • Business Intelligence
  • • Dashboard
  • • Data Visualization
  • • Big Data
  • • Java
  • • Jdbc
  • • Python
  • • R
Integrations
  • • prometheus
  • • grafana
  • • elasticsearch
No integrations listed
Momentum Score
88/100 (stable)
88/100 (stable)
Community Health
95/100 (excellent)
90/100 (excellent)
Maturity Index
89/100 (mature)
89/100 (mature)
Innovation Score
95/100 (pioneering)
90/100 (pioneering)
Risk Score (higher is safer)
94/100 (minimal)
94/100 (minimal)
Developer Experience
78/100 (good)
78/100 (good)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Grafana Strengths

  • ✓ More popular (72,959 stars)

Apache Spark Strengths

  • ✓ Larger community (3,407 contributors)

More Comparisons

View Grafana → View Apache Spark → Search More Tools →

Data source: GitHub API

Last updated: 4/5/2026