Apache Kafka vs Apache ActiveMQ

Apache Kafka9.2Visit Apache ActiveMQ8.6Visit

Higher score Apache Kafka #2 in Message Queue (MQ) Software 9.2/10 Open source Visit Apache Kafka

vs

Apache ActiveMQ #8 in Message Queue (MQ) Software 8.6/10 Free plan Free plan Try Apache ActiveMQ

• Apache Kafka fits best

  Teams wanting self-hosted Kafka and stream processing

• Apache ActiveMQ fits best

  Teams needing free, self-hosted multi-protocol messaging

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Side by side

Feature	Apache Kafka 9.2/10 Visit ↗	Apache ActiveMQ 8.6/10 Visit ↗
At a glance
Editor score	9.2	8.6
Ranking	#2 in Message Queue (MQ) Software	#8 in Message Queue (MQ) Software
Best for	Teams wanting self-hosted Kafka and stream processing	Teams needing free, self-hosted multi-protocol messaging
Pricing model	Free	Free
Starting price	Open source	Free plan
Free plan	Not checked yet	✓ (best)
Free trial	—	—
Deployment	Self-hosted	Self-hosted
Support	Community, Docs	Community, Docs
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Specs
Deployment	Not checked yet	Not checked yet
Delivery guarantee	Not checked yet	Not checked yet
Protocols	Not checked yet	Not checked yet
Message retention	Not checked yet	Not checked yet
Throughput limit	Not checked yet	Not checked yet
Max message size	Not checked yet	Not checked yet
Our review
Pros	Partitioned, replicated event storage supports fault-tolerant deployments. Kafka Streams supports joins, aggregations, filters, and exactly-once processing. Kafka Connect links sources and sinks, including Postgres and AWS S3.	Supports OpenWire, STOMP, AMQP, MQTT, and REST connectivity Offers persistent, transactional, and XA messaging with redelivery policies Includes dead-letter queues, message groups, and broker clustering
Cons	Self-hosted deployment means teams operate Kafka themselves. Kafka Connect and stream processing add operational complexity. Support channels are community and documentation.	Self-hosted deployment requires teams to operate the broker No official hosted offering or paid plans are listed Support channels are community resources and documentation
Our verdict	Apache Kafka is an open-source distributed event streaming platform for building data pipelines, streaming analytics, data integration systems, and applications that need to publish, consume, store, and process events. It organizes events… Read the review →	Apache ActiveMQ is an open-source message broker for applications that need queue-based or publish-subscribe messaging. Its protocol coverage includes OpenWire, STOMP, AMQP, MQTT, and REST, with support for multiple client languages. It is… Read the review →

Strengths and trade-offs

• Apache Kafka — where it wins

  • Partitioned, replicated event storage supports fault-tolerant deployments.
  • Kafka Streams supports joins, aggregations, filters, and exactly-once processing.
  • Kafka Connect links sources and sinks, including Postgres and AWS S3.

  Where it doesn't

  • Self-hosted deployment means teams operate Kafka themselves.
  • Kafka Connect and stream processing add operational complexity.
  • Support channels are community and documentation.

• Apache ActiveMQ — where it wins

  • Supports OpenWire, STOMP, AMQP, MQTT, and REST connectivity
  • Offers persistent, transactional, and XA messaging with redelivery policies
  • Includes dead-letter queues, message groups, and broker clustering

  Where it doesn't

  • Self-hosted deployment requires teams to operate the broker
  • No official hosted offering or paid plans are listed
  • Support channels are community resources and documentation

• Apache Kafka9.2/10 · Open source

  Open-source Kafka combines event storage, stream processing, and data integration for self-hosted teams.

  Visit Apache KafkaFull verdict →
• Apache ActiveMQ8.6/10 · Free plan

  A self-hosted broker with broad protocol support and configurable delivery features.

  Try Apache ActiveMQFull verdict →