Apache Artemis
Apache Artemis: A capable self-hosted broker for durable, transactional, multi-protocol messaging. Ranked #6 of 39 in Message Broker Software by our editors (8.7/10); pricing: Free plan; best for self-hosted enterprise messaging.
At a glance
- Editor score8.7 / 10
- PricingFree plan
- Best forSelf-hosted enterprise messaging
- Free planYes
- Paid fromFree
- Deployment modelSelf_hosted
- Facts checked20 Sep 2026

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
Our verdict on Apache Artemis
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 or connecting heterogeneous systems across multiple languages and platforms. Deployment is self-hosted across Windows, macOS, Linux, or within a Java application server, and the broker can also be embedded in another product. Its open-source model makes it a fit for organizations that want control over deployment and integration rather than a hosted messaging service.
The broker’s feature depth centers on delivery control and operational resilience. Durable message persistence supports messages that must survive restarts, while transactions include XA and JTA support for coordinated work. High availability includes automatic client failover, and clustered message load balancing supports distributed deployments. Dead-letter destinations can receive messages after configurable delivery attempts. Message grouping and ordered consumption address workflows where sequence matters, with ordering guarantees defined per queue. Large messages can use disk-backed storage, with the effective limit constrained by available server disk space.
Protocol breadth is a major reason to consider Artemis: AMQP, MQTT, STOMP, OpenWire, and Core support can help one broker connect systems with different messaging requirements. The trade-off is ownership of the self-hosted environment, including deployment and ongoing infrastructure management. Teams seeking a broker they can embed, configure, cluster, and integrate across established protocols should consider Apache Artemis. Teams that prefer a managed service or need ordering beyond the per-queue model should look for an alternative aligned with those requirements.
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Apache Artemis pricing
Apache Artemis fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Deployment model | Self_hosted |
| Delivery guarantees | Configurable |
| Dead-letter queues | Yes |
| Ordering guarantees | Per_queue |
| Maximum message size | Not verified |
| Supported protocols | AMQP, MQTT, STOMP, OpenWire, Core |
| Deployment | Self-hosted |
| Platforms | Windows, macOS, Linux |
| Support | Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan |
| Website | artemis.apache.org |
| Facts checked | 20 Sep 2026 |
Alternatives to Apache Artemis
- RabbitMQA broad, open-source broker for queues, routing, streaming, and hybrid deployments.9.4
- Solace PubSub+ Event BrokerA broad hybrid event broker for teams connecting applications, services and devices.9.2
- Google Cloud Pub/SubA managed cloud pub/sub service with strong delivery controls and usage-based pricing.9.1
See all Apache Artemis alternatives →
Apache Artemis vs the competition
- Apache Artemis vs RabbitMQ
- Apache Artemis vs Solace PubSub+ Event Broker
- Apache Artemis vs Google Cloud Pub/Sub
- Apache Artemis vs Apache Kafka
- Apache Artemis vs IBM MQ
- Apache Artemis vs Apache RocketMQ
Compare Apache Artemis with any tool side by side →
Also Ranked In
Apache Artemis is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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