Stream MQTT data to any system

EMQX integrations are built-in connectors that enable you to route IoT data from EMQX to external systems like databases, message queues, cloud services, and AI platforms. They are configured through the Rule Engine and Flow Designer — no custom code is needed.

EMQX supports 50+ native integrations covering cloud platforms (AWS, Azure, GCP, Oracle), AI platforms (OpenAI, Anthropic, Gemini), message streaming (Kafka, Pulsar, RabbitMQ), databases (MySQL, PostgreSQL, MongoDB, InfluxDB, TDengine, TimescaleDB), data analytics (ClickHouse, Snowflake, BigQuery), object storage (S3, Azure Blob), and more.

No. Most integrations can be set up entirely through the EMQX Dashboard using the visual Flow Designer or the Rule Engine's SQL-based configuration. You simply configure connection details and data routing rules through the UI.

Yes. EMQX supports direct integration with OpenAI, Anthropic Claude, and Google Gemini through Flow Designer AI processing nodes. You can use LLMs to analyze, transform, and enrich IoT data in real-time. EMQX also supports MCP (Model Context Protocol) over MQTT, allowing AI agents to access and control IoT devices.

EMQX integrations are designed for high throughput. The Rule Engine can process millions of messages per second with sub-millisecond latency for most data connectors. AI/LLM integrations have higher latency (seconds) due to API call overhead and are best suited for lower-throughput scenarios.

Yes. EMQX Cloud (Dedicated plan) supports the same set of native integrations as the self-hosted Enterprise edition. You can configure data bridges, rule engines, and connectors through the cloud dashboard.