EMQX integrates with various databases such as MySQL, PostgreSQL, Redis, MongoDB, InfluxDB, and ClickHouse, enabling users to sink data with minimal effort.
Connect to popular streaming platforms like Kafka/Confluent, Pulsar, and RabbitMQ, allowing users to route messages between the MQTT broker and enterprise systems.
Integrates with AWS Kinesis, Azure EventHub, and GCP Pub/Sub for enhanced data processing and analytics using major cloud services.
Use webhooks to send HTTP requests to external APIs or services when specific events or conditions are met.
Transform and route data between the MQTT broker and external systems using an SQL-based rule engine.
Built-in buffer layer to achieve batch data processing, reduce the burden on the target system, and ensure data integration's reliability and high throughput.
Efficiently manage and analyze data by seamlessly integrating with diverse databases and cloud services, reducing the complexity of processing data across multiple systems.
Integration with various external services and platforms enables you to create interoperable IoT solutions, fostering seamless collaboration among disparate systems and technologies.
Directly connect data to the external system from the MQTT server, reducing intermediate operations, reducing the risk of data leakage, and ensuring data security.
Designed to handle high throughput, ensuring the reliable execution of data integration tasks even as the number of connected devices and data volumes grow.