Integrate
Integrate Data with Everything
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 Editor.
Benefits
Simplified data management
Seamless integration with various databases, messaging platforms, and cloud services allows you to manage and analyze their data more effectively, reducing the complexity of handling data across multiple systems.
Enhanced system interoperability
Integration with various external services and platforms enables you to create interoperable IoT solutions, connecting disparate systems and technologies to work together harmoniously.
Security and data protection
The data is directly connected 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, ensure that data integration tasks can be reliably executed even as the number of connected devices and data volumes grow.
Capabilities
Ingest data into various databases with no code
EMQX Enterprise can integrate with a variety of databases such as MySQL, PostgreSQL, Redis, MongoDB, InfluxDB, and ClickHouse, enabling users to sink data with no additional effort needed.
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 these systems for more complex data processing and distribution scenarios.
Integration with cloud services
Supports integration with major cloud services, such as AWS Kinesis, Azure EventHub, and GCP Pub/Sub, enabling users to leverage cloud-based services for data processing and analytics.
Webhook support
Use webhooks to send HTTP requests to external APIs or services when specific events or conditions are met. Integrating IoT solutions with custom applications and third-party services is now easier than ever.
Customizable data transformation and mapping
Define custom data mapping rules to transform and route data between the MQTT broker and external systems, ensuring that data is properly formatted and delivered to the appropriate destinations.
Batch Processing
Built-in buffer layer to achieve batch processing of data, reduce the burden on the target system and ensure the stability and high throughput of data integration.
