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

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

Key Differences

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

Feature

Apache Kafka

Messaging

Apache Pulsar

Messaging

Side-by-side comparison of developer tools

Distributed streaming platform

Distributed pub-sub messaging platform

GitHub Stars

⭐ 33,324

⭐ 15,299

Contributors

👥 1,718

👥 792

Pricing

✓ Free

Enterprise: Contact sales

✓ Free

Enterprise: Contact sales

Languages

Java

Features

• Java
• Kafka
• Scala
• Streaming

• Event Streaming
• Messaging
• Pubsub
• Pulsar
• Queuing

Integrations

• kafka

No integrations listed

Momentum Score

91/100 (slowing)

60/100 (stable)

Community Health

85/100 (excellent)

43/100 (developing)

Maturity Index

81/100 (established)

54/100 (emerging)

Innovation Score

69/100 (progressive)

51/100 (evolving)

Risk Score (higher is safer)

82/100 (minimal)

61/100 (low)

Developer Experience

53/100 (needs-improvement)

Links

🌐 Visit Website View on GitHub

Apache Kafka Strengths

✓ More popular (33,324 stars)
✓ Larger community (1,718 contributors)

Apache Pulsar Strengths

✓ More features (5 listed)

When to Use Apache Kafka vs Apache Pulsar

Use Apache Kafka 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.

Related comparisons

Apache Kafka vs NATS → Apache Pulsar vs NATS → Apache Kafka vs RabbitMQ → Apache Pulsar vs RabbitMQ → Apache Kafka vs ZeroMQ → Apache Pulsar vs ZeroMQ → Apache Kafka vs ActiveMQ → Apache Pulsar vs ActiveMQ → Apache Kafka vs Elasticsearch → Apache Pulsar vs Elasticsearch → Apache Kafka vs Grafana → Apache Pulsar vs Grafana →

More Comparisons

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Data source: GitHub API

Last updated: 7/28/2026