Dagster vs Redis: Key Differences & When to Use Each

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

Key Differences

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

Feature

Dagster

Workflow

Redis

Database

Side-by-side comparison of developer tools
Data orchestrator for machine learning and analytics
In-memory data structure store
GitHub Stars
⭐ 15,427
⭐ 74,123
Contributors
👥 673
👥 909
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Python
C
Features
  • • Analytics
  • • Dagster
  • • Data Engineering
  • • Data Integration
  • • Data Orchestrator
  • • Cache
  • • Caching
  • • Database
  • • Distributed Systems
  • • In Memory
Integrations
No integrations listed
  • • redis
Momentum Score
94/100 (stable)
89/100 (stable)
Community Health
50/100 (developing)
81/100 (good)
Maturity Index
45/100 (emerging)
82/100 (established)
Innovation Score
43/100 (evolving)
91/100 (pioneering)
Risk Score (higher is safer)
53/100 (low)
68/100 (low)
Developer Experience
54/100 (needs-improvement)
68/100 (fair)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Dagster Strengths

Redis Strengths

  • ✓ More popular (74,123 stars)
  • ✓ Larger community (909 contributors)

When to Use Dagster vs Redis

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

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Data source: GitHub API

Last updated: 5/4/2026