?????????? ???????? ???? ???????????? ?????? ???????? ?????? ???? - ???????? ?? ???? ?? ???????? is often the go-to protocol for integrating IoT data with AI when low latency, reliability, and efficiency matter—especially at the edge. It outperforms HTTP in async communication and offers richer features than WebSockets, while Kafka complements it for cloud-scale analytics. ???????? ????. ?????????? ?????????????????? ?????? ?????????? ???? ???? ?????? ???????? ??????????????: - ???????? is good in edge-to-AI messaging with its efficiency and speed. - ???????? suits external API calls (e.g., LLM endpoints). - ???????????????????? enable real-time web UIs or can transport MQTT. - ?????????? excels in cloud-based data aggregation and training pipelines. ??- ???????? Pros: Low overhead, real-time bi-directional messaging, built-in QoS for reliability, scalable, optimized for constrained devices. Cons: Requires a broker, inefficient for large file transfers, short-term message retention. ??- ???????? Pros: Simple, widely supported for AI APIs, good for on-demand queries. Cons: High overhead for continuous data, lacks built-in queuing or reliability features. ??- ???????????????????? Pros: Real-time two-way communication, lower overhead than HTTP, supports MQTT over WebSockets. Cons: No built-in pub/sub or QoS, scaling can be complex. ??- ?????????? Pros: High throughput, durable storage, great for training data collection and analytics. Cons: Heavy for IoT, complex deployment, higher latency than MQTT for real-time interactions. ???????? ???????????????? ???????? ?????? ???????????????? ?????? ???????? ?????? ???? - ?????? ??????????????: MQTT messages typically deliver in milliseconds, much faster than HTTP due to its persistent connection. - ????-?????????????????????? ??????????????????: Enables real-time interaction between AI models and IoT devices. - ?????????????????? ?????? ???????? ????: Works well with constrained devices and unreliable networks. - ?????? ????????????: Ensures reliable message delivery for critical AI-driven automation. - ??????????????????????: Supports thousands to millions of devices with a lightweight broker. - ???????????????? ???? ???????????????? ??????????????????????: MQTT feeds real-time data to AI models while Kafka can handle historical data storage for training. ?? Read more on MQTT and AI use cases: https://bit.ly/424834Z ???? Follow EMQ Technologies for more MQTT and AI knowledge sharing #MQTT, #AI, #EMQX
