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EMQX achieves zero data loss through its durable message queue and built-in distributed and replicated storage layer, powered by RocksDB and Raft consensus. This ensures messages persist even if subscribers are offline, with configurable TTL, dispatch strategies, and last-value semantics.
Yes, EMQX offers native integration with leading AI models, including OpenAI GPT, Anthropic Claude, and Google Gemini. This allows for real-time processing of MQTT payloads, enabling features like anomaly detection and intelligent alert generation directly from IoT data streams.
In the BYOC (Bring Your Own Cloud) plan, EMQX manages monitoring and maintenance, providing assistance with issue resolution. Conversely, the self-managed Enterprise plan requires customers to handle their own monitoring and maintenance responsibilities.
The built-in SQL-based rule engine in EMQX allows users to extract, filter, enrich, and transform IoT data in real-time. This is further enhanced by a schema registry, message codec, and a visual flow editor, providing powerful capabilities for data manipulation before integration with other systems.
Beyond MQTT, EMQX supports various open standard protocols for device connectivity, including HTTP, QUIC, and LwM2M/CoAP, providing flexibility for integrating diverse IoT devices and systems.
Source: emqx.io