Dagster vs Prometheus: Key Differences & When to Use Each

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

Key Differences

Compare Dagster and Prometheus across features, pricing, integrations, and community metrics. Dagster / Prometheus.

Feature

Dagster

Workflow

Prometheus

Monitoring

Side-by-side comparison of developer tools
Data orchestrator for machine learning and analytics
The Prometheus monitoring system and time series database
GitHub Stars
⭐ 15,909
⭐ 65,327
Contributors
👥 692
👥 1,431
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Python
Go
Features
  • Analytics
  • Dagster
  • Data Engineering
  • Data Integration
  • Data Orchestrator
  • Alerting
  • Graphing
  • Hacktoberfest
  • Metrics
  • Monitoring
Integrations
No integrations listed
  • • prometheus
Momentum Score
81/100 (slowing)
87/100 (slowing)
Community Health
51/100 (developing)
95/100 (excellent)
Maturity Index
50/100 (emerging)
81/100 (established)
Innovation Score
42/100 (evolving)
87/100 (pioneering)
Risk Score (higher is safer)
53/100 (low)
75/100 (minimal)
Developer Experience
53/100 (needs-improvement)
68/100 (fair)
Links

Dagster Strengths

Prometheus Strengths

  • ✓ More popular (65,327 stars)
  • ✓ Larger community (1,431 contributors)

When to Use Dagster vs Prometheus

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

Data source: GitHub API

Last updated: 7/28/2026