Dagster vs Grafana: Key Differences & When to Use Each
Comprehensive side-by-side comparison of features, pricing, and metrics
Key Differences
Compare Dagster and Grafana across features, pricing, integrations, and community metrics. Dagster / Grafana.
Feature
Dagster
Workflow
Grafana
Monitoring
Side-by-side comparison of developer tools
Data orchestrator for machine learning and analytics
The open and composable observability and data visualization platform
GitHub Stars
⭐ 16,323
⭐ 77,489
Contributors
👥 707
👥 3,161
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Python
TypeScript
Features
- • Analytics
- • Dagster
- • Data Engineering
- • Data Integration
- • Data Orchestrator
- • Alerting
- • Analytics
- • Business Intelligence
- • Dashboard
- • Data Visualization
Integrations
No integrations listed
- • prometheus
- • grafana
- • elasticsearch
Momentum Score
79/100Momentum797979
(slowing)
87/100Momentum878787
(slowing)
Community Health
51/100Health515151
(developing)
95/100Health959595
(excellent)
Maturity Index
49/100Maturity494949
(emerging)
89/100Maturity898989
(mature)
Innovation Score
51/100Innovation515151
(evolving)
95/100Innovation959595
(pioneering)
Risk Score (higher is safer)
60/100Risk606060
(low)
94/100Risk949494
(minimal)
Developer Experience
54/100DX545454
(needs-improvement)
80/100DX808080
(good)
Links
Dagster Strengths
Grafana Strengths
- ✓ More popular (77,489 stars)
- ✓ Larger community (3,161 contributors)
When to Use Dagster vs Grafana
Use Dagster when its strengths align better with your stack and team needs, and choose Grafana when its ecosystem, integrations, or cost profile is a better fit.
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Data source: GitHub API
Last updated: 10/25/2026