Dagster vs TimescaleDB: Key Differences & When to Use Each

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

Key Differences

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

Feature

Dagster

Workflow

TimescaleDB

Database

Side-by-side comparison of developer tools
Data orchestrator for machine learning and analytics
Time-series database built on PostgreSQL
GitHub Stars
⭐ 15,427
⭐ 22,557
Contributors
👥 673
👥 134
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Python
C
Features
  • • Analytics
  • • Dagster
  • • Data Engineering
  • • Data Integration
  • • Data Orchestrator
  • • Analytics
  • • Database
  • • Financial Analysis
  • • Hacktoberfest
  • • Iot
Integrations
No integrations listed
  • • postgresql
Momentum Score
94/100 (stable)
32/100 (slowing)
Community Health
50/100 (developing)
27/100 (needs-attention)
Maturity Index
45/100 (emerging)
23/100 (experimental)
Innovation Score
43/100 (evolving)
34/100 (traditional)
Risk Score (higher is safer)
53/100 (low)
18/100 (high)
Developer Experience
54/100 (needs-improvement)
36/100 (poor)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Dagster Strengths

  • ✓ Larger community (673 contributors)

TimescaleDB Strengths

  • ✓ More popular (22,557 stars)

When to Use Dagster vs TimescaleDB

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

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More Comparisons

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Data source: GitHub API

Last updated: 5/4/2026