The best ZeroMQ alternatives
The rest of Best Message Queue (MQ) Software, in this site's order: each with what it costs, where it runs and its record score.
It suits teams that want managed Apache Kafka across supported cloud providers.
EMQX suits teams connecting IoT devices and processing their data through MQTT and related protocols.
Confluent Cloud suits teams building real-time streaming, event-driven applications, analytics, or AI/ML workloads.
Solace describes the Event Broker for enterprises with demanding messaging and streaming needs, and for connecting applications, customers, partners,…
RabbitMQ suits teams building systems that need to route messages between applications, microservices, or real-time data services.
Pub/Sub suits teams connecting backend services or building streaming and data integration pipelines.
RocketMQ suits developers and operators building asynchronous messaging systems who can run and configure self-hosted software.
It suits teams that need a self-hosted messaging server with multiple protocols, client languages and transport options.
It is aimed at teams building large-scale IoT deployments or enterprise operations that need MQTT messaging between devices and systems.
Redpanda suits teams building event-streaming systems that want Kafka API compatibility and multiple deployment choices.
Broker-J suits developers and administrators needing a self-hosted AMQP broker across Windows, UNIX, or supported client environments.
SQS suits organizations building microservices, distributed systems, or serverless applications, including startups, enterprises, nonprofits, and…
Apache Pulsar may suit organizations building distributed messaging or streaming systems that need self-hosting, multi-region replication, or…
It suits developers and operators building MQTT-based messaging for connected devices, from small embedded systems to servers.
MSK is intended for developers and DevOps or platform engineers building streaming data applications on AWS.
It suits teams working across real-time systems, data platforms, and AI initiatives.
Amazon MQ suits teams moving existing ActiveMQ or RabbitMQ workloads or building applications that communicate through message brokers.
NATS suits teams building dynamic, loosely coupled services across clouds or on low-resource edge devices.
Kafka suits teams building event-streaming systems for data pipelines, integration, analytics, and related applications.