Apache Flink vs TimescaleDB: Key Differences & When to Use Each

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

Key Differences

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

Feature

Apache Flink

Data Processing

TimescaleDB

Database

Side-by-side comparison of developer tools
Stream processing framework
Time-series database built on PostgreSQL
GitHub Stars
⭐ 25,980
⭐ 22,557
Contributors
👥 2,096
👥 134
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Java
C
Features
  • • Big Data
  • • Flink
  • • Java
  • • Python
  • • Scala
  • • Analytics
  • • Database
  • • Financial Analysis
  • • Hacktoberfest
  • • Iot
Integrations
No integrations listed
  • • postgresql
Momentum Score
79/100 (stable)
32/100 (slowing)
Community Health
68/100 (moderate)
27/100 (needs-attention)
Maturity Index
82/100 (established)
23/100 (experimental)
Innovation Score
76/100 (innovative)
34/100 (traditional)
Risk Score (higher is safer)
87/100 (minimal)
18/100 (high)
Developer Experience
68/100 (fair)
36/100 (poor)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Apache Flink Strengths

  • ✓ More popular (25,980 stars)
  • ✓ Larger community (2,096 contributors)

TimescaleDB Strengths

When to Use Apache Flink vs TimescaleDB

Use Apache Flink 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