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

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

Key Differences

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

Feature

ActiveMQ

Messaging

Apache Kafka

Messaging

Side-by-side comparison of developer tools
Message broker
Distributed streaming platform
GitHub Stars
⭐ 2,427
⭐ 32,505
Contributors
👥 205
👥 1,675
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Java
Java
Features
  • • Activemq
  • • Amqp
  • • Amqps
  • • Apache
  • • Broker
  • • Java
  • • Kafka
  • • Scala
  • • Streaming
Integrations
No integrations listed
  • • kafka
Momentum Score
66/100 (stable)
89/100 (stable)
Community Health
16/100 (needs-attention)
85/100 (excellent)
Maturity Index
18/100 (experimental)
82/100 (established)
Innovation Score
23/100 (traditional)
70/100 (innovative)
Risk Score (higher is safer)
25/100 (high)
82/100 (minimal)
Developer Experience
21/100 (poor)
54/100 (needs-improvement)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

ActiveMQ Strengths

  • ✓ More features (5 listed)

Apache Kafka Strengths

  • ✓ More popular (32,505 stars)
  • ✓ Larger community (1,675 contributors)

When to Use ActiveMQ vs Apache Kafka

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

Related comparisons

ActiveMQ vs NATS → Apache Kafka vs NATS → ActiveMQ vs Apache Pulsar → Apache Kafka vs Apache Pulsar → ActiveMQ vs RabbitMQ → Apache Kafka vs RabbitMQ → ActiveMQ vs ZeroMQ → Apache Kafka vs ZeroMQ → ActiveMQ vs Logstash → Apache Kafka vs Elasticsearch → ActiveMQ vs Apache Beam → Apache Kafka vs Redis →

More Comparisons

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Data source: GitHub API

Last updated: 5/4/2026