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

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

Key Differences

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

Feature

Apache Flink

Data Processing

InfluxDB

Database

Side-by-side comparison of developer tools
Stream processing framework
Scalable datastore for metrics, events, and real-time analytics
GitHub Stars
⭐ 25,980
⭐ 31,484
Contributors
👥 2,096
👥 690
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Java
Rust
Features
  • • Big Data
  • • Flink
  • • Java
  • • Python
  • • Scala
  • • Database
  • • Go
  • • Influxdb
  • • Metrics
  • • Monitoring
Integrations
No integrations listed
No integrations listed
Momentum Score
79/100 (stable)
25/100 (stable)
Community Health
68/100 (moderate)
57/100 (moderate)
Maturity Index
82/100 (established)
57/100 (growing)
Innovation Score
76/100 (innovative)
59/100 (progressive)
Risk Score (higher is safer)
87/100 (minimal)
53/100 (low)
Developer Experience
68/100 (fair)
54/100 (needs-improvement)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Apache Flink Strengths

  • ✓ Larger community (2,096 contributors)

InfluxDB Strengths

  • ✓ More popular (31,484 stars)

When to Use Apache Flink vs InfluxDB

Use Apache Flink when its strengths align better with your stack and team needs, and choose InfluxDB 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: 5/5/2026