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

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

Key Differences

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

Feature

Apache Flink

Data Processing

Apache Pulsar

Messaging

Side-by-side comparison of developer tools
Stream processing framework
Distributed pub-sub messaging platform
GitHub Stars
⭐ 25,980
⭐ 15,219
Contributors
👥 2,096
👥 782
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Java
Java
Features
  • • Big Data
  • • Flink
  • • Java
  • • Python
  • • Scala
  • • Event Streaming
  • • Messaging
  • • Pubsub
  • • Pulsar
  • • Queuing
Integrations
No integrations listed
No integrations listed
Momentum Score
79/100 (stable)
66/100 (stable)
Community Health
68/100 (moderate)
43/100 (developing)
Maturity Index
82/100 (established)
54/100 (emerging)
Innovation Score
76/100 (innovative)
52/100 (evolving)
Risk Score (higher is safer)
87/100 (minimal)
62/100 (low)
Developer Experience
68/100 (fair)
54/100 (needs-improvement)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Apache Flink Strengths

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

Apache Pulsar Strengths

When to Use Apache Flink vs Apache Pulsar

Use Apache Flink when its strengths align better with your stack and team needs, and choose Apache Pulsar 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