Apache Artemis vs Amazon SQS

Apache Artemis8.7Visit Amazon SQS8.5Visit

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

vs

Amazon SQS #8 in Message Broker Software 8.5/10 Free plan Free plan✓ 1 of 1 features Visit Amazon SQS

• Apache Artemis fits best

  Self-hosted enterprise messaging

• Amazon SQS fits best

  Managed AWS queues

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Side by side

Feature	Apache Artemis 8.7/10 Visit ↗	Amazon SQS 8.5/10 Visit ↗
At a glance
Editor score	8.7	8.5
Ranking	#6 in Message Broker Software	#8 in Message Broker Software
Best for	Self-hosted enterprise messaging	Managed AWS queues
Pricing model	Free	Free plan + paid
Starting price	Free plan	—
Free plan	✓	✓
Free trial	—	—
Deployment	Self-hosted	Cloud
Platforms	Windows, macOS, Linux	Web
Support	Community, Docs	Docs
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Apache Artemis 1/1 · Amazon SQS 1/1
Dead-letter queues	✓	✓
Specs
Deployment model	Self_hosted	Cloud
Delivery guarantees	Configurable	Configurable
Ordering guarantees	Per_queue	Per_queue
Maximum message size	Not checked yet	1 MB
Supported protocols	AMQP, MQTT, STOMP, OpenWire, Core	AWS JSON, AWS Query, HTTPS, TLS
Our review
Pros	Supports AMQP, MQTT, STOMP, OpenWire, and Core protocols Combines persistence, transactions, clustering, and automatic failover Handles dead-lettering, ordered consumption, and large messages	Standard and FIFO queues support different delivery guarantees Dead-letter queues, redrive, batching, and long polling are built in Integrates with Lambda, SNS, S3, DynamoDB, and other AWS services
Cons	Self-hosted deployment requires responsibility for operations and infrastructure Ordering guarantees apply per queue rather than universally Does not include AI features	Best-effort ordering applies to standard queues Usage-based pricing varies by queue type and request characteristics Designed for AWS environments rather than broad multi-cloud portability
Our verdict	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 →	Amazon SQS is a fully managed cloud message queuing service for decoupling microservices, distributed systems, and serverless applications. It is suited to teams building around AWS services and accessing queues through the AWS Management… Read the review →

Strengths and trade-offs

• 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

• Amazon SQS — where it wins

  • Standard and FIFO queues support different delivery guarantees
  • Dead-letter queues, redrive, batching, and long polling are built in
  • Integrates with Lambda, SNS, S3, DynamoDB, and other AWS services

  Where it doesn't

  • Best-effort ordering applies to standard queues
  • Usage-based pricing varies by queue type and request characteristics
  • Designed for AWS environments rather than broad multi-cloud portability

• Apache Artemis8.7/10 · Free plan

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

  Visit Apache ArtemisFull verdict →
• Amazon SQS8.5/10 · Free plan

  A managed AWS queue service with standard and FIFO delivery options.

  Visit Amazon SQSFull verdict →