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Seamlessly Integrate Your IoT Data

Seamlessly integrate IoT data with more than 40 cloud services and enterprise systems, including Kafka, SQL, NoSQL, and time series databases, using the visual Flow Designer.

Seamlessly  Your IoT Data

機能

Integration with Various Databases

Integration with Various Databases

EMQX integrates with various databases such as MySQL, PostgreSQL, Redis, MongoDB, InfluxDB, and ClickHouse, enabling users to sink data with minimal effort.

Integration with Streaming Platforms

Integration with Streaming Platforms

Connect to popular streaming platforms like Kafka/Confluent, Pulsar, and RabbitMQ, allowing users to route messages between the MQTT broker and enterprise systems.

Integration with Cloud Services

Integration with Cloud Services

Integrates with AWS Kinesis, Azure EventHub, and GCP Pub/Sub for enhanced data processing and analytics using major cloud services.

WebHook Support

WebHook Support

Use webhooks to send HTTP requests to external APIs or services when specific events or conditions are met.

Data Transformation and Mapping

Data Transformation and Mapping

Transform and route data between the MQTT broker and external systems using an SQL-based rule engine.

Batch Data Processing

Batch Data Processing

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.

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利点

Simplified Data Management


Efficiently manage and analyze data by seamlessly integrating with diverse databases and cloud services, reducing the complexity of processing data across multiple systems.

Enhanced System Interoperability


Integration with various external services and platforms enables you to create interoperable IoT solutions, fostering seamless collaboration among disparate systems and technologies.

Security and Data Protection


Directly connect data to the external system from the MQTT server, reducing intermediate operations, reducing the risk of data leakage, and ensuring data security.

Scalability and Reliability


Designed to handle high throughput, ensuring the reliable execution of data integration tasks even as the number of connected devices and data volumes grow.

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