
The unified MQTT platform for AI and IoT data streaming, connecting devices to applications and AI services.
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EMQX unifies real-time MQTT pub/sub with durable message queuing within a single platform. This eliminates the need for deploying and managing separate systems like RabbitMQ for queuing or Kafka for streaming, reducing infrastructure complexity and operational costs by up to 50%. It provides a single operational interface for both paradigms.
EMQX provides native integration with leading AI models, including OpenAI GPT, Anthropic Claude, and Google Gemini. This allows for real-time processing of MQTT payloads, enabling functionalities such as anomaly detection, intelligent alerts, and automated actions directly from IoT data streams.
Yes, EMQX includes a built-in SQL-based rule engine, schema registry, message codec, and a visual flow editor. These tools allow for on-the-fly extraction, filtering, enrichment, and transformation of IoT data in real-time as it flows through the platform.
In the BYOC (Bring Your Own Cloud) plan, EMQX manages the monitoring and maintenance of the deployment, assisting with issue resolution. For the self-managed Enterprise plan, customers are responsible for handling their own monitoring and maintenance tasks.
EMQX ensures zero data loss and maximum reliability through durable storage, which persists messages even when subscribers are offline. It utilizes a built-in distributed and replicated storage layer powered by RocksDB and Raft consensus, offering configurable TTL, dispatch strategies, last-value semantics, and a 99.99% uptime SLA.
EMQX supports a wide range of open standard protocols for device connectivity, including MQTT (3.1.1 and 5.0), HTTP, QUIC, and LwM2M/CoAP. This broad protocol support allows for flexible integration with diverse IoT ecosystems.
Source: emqx.com