Apache Kafka vs Apache Artemis

Apache Kafka9.0Visit Apache Artemis8.7Visit

Higher score Apache Kafka #4 in Message Broker Software 9.0/10 Open source ✓ 0 of 1 features Visit Apache Kafka

vs

Apache Artemis #6 in Message Broker Software 8.7/10 Free plan Free plan✓ 1 of 1 features Visit Apache Artemis

• Apache Kafka fits best

  Event streaming and stream processing

• Apache Artemis fits best

  Self-hosted enterprise messaging

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Side by side

Feature	Apache Kafka 9.0/10 Visit ↗	Apache Artemis 8.7/10 Visit ↗
At a glance
Editor score	9.0	8.7
Ranking	#4 in Message Broker Software	#6 in Message Broker Software
Best for	Event streaming and stream processing	Self-hosted enterprise 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
Features Apache Kafka 0/1 · Apache Artemis 1/1
Dead-letter queues	Not checked yet	✓ (best)
Specs
Deployment model	Not checked yet	Self_hosted
Delivery guarantees	Not checked yet	Configurable
Ordering guarantees	Not checked yet	Per_queue
Maximum message size	Not checked yet	Not checked yet
Supported protocols	Not checked yet	AMQP, MQTT, STOMP, OpenWire, Core
Our review
Pros	Replicated event storage with configurable retention and log compaction Stream processing supports joins, aggregations, filters, and transformations Kafka Connect links systems including Postgres, Elasticsearch, and AWS S3	Supports AMQP, MQTT, STOMP, OpenWire, and Core protocols Combines persistence, transactions, clustering, and automatic failover Handles dead-lettering, ordered consumption, and large messages
Cons	Self-hosted deployment places cluster operations on the deploying organization Its broad API surface can require more architecture than a narrow broker Kafka Connect integrations depend on source and sink connector setup	Self-hosted deployment requires responsibility for operations and infrastructure Ordering guarantees apply per queue rather than universally Does not include AI features
Our verdict	Apache Kafka is an open-source distributed event streaming platform for data pipelines, streaming analytics, data integration systems, and mission-critical applications. It organizes events into topics and supports publishing, consuming,… Read the review →	Apache Artemis is an open-source, embeddable message broker for asynchronous messaging and message-oriented middleware. It supports both queue and publish-subscribe patterns, making it suitable for teams building distributed applications… Read the review →

Strengths and trade-offs

• Apache Kafka — where it wins

  • Replicated event storage with configurable retention and log compaction
  • Stream processing supports joins, aggregations, filters, and transformations
  • Kafka Connect links systems including Postgres, Elasticsearch, and AWS S3

  Where it doesn't

  • Self-hosted deployment places cluster operations on the deploying organization
  • Its broad API surface can require more architecture than a narrow broker
  • Kafka Connect integrations depend on source and sink connector setup

• Apache Artemis — where it wins

  • Supports AMQP, MQTT, STOMP, OpenWire, and Core protocols
  • Combines persistence, transactions, clustering, and automatic failover
  • Handles dead-lettering, ordered consumption, and large messages

  Where it doesn't

  • Self-hosted deployment requires responsibility for operations and infrastructure
  • Ordering guarantees apply per queue rather than universally
  • Does not include AI features

• Apache Kafka9.0/10 · Open source

  A broad open-source foundation for event streaming, integration, and stream processing.

  Visit Apache KafkaFull verdict →
• Apache Artemis8.7/10 · Free plan

  A capable self-hosted broker for durable, transactional, multi-protocol messaging.

  Visit Apache ArtemisFull verdict →