Real-time processing of data streams using SQL. Filter, transform, and analyze data on-the-fly to gain insights.
The rule engine can respond to events such as client connected/disconnected, topic subscribe/unsubscribe, and message publish/deliver.
A bunch of predefined operations can be used within the Rule Engine to process and manipulate the data streams more effectively and efficiently.
High-performance encode/decode MQTT messages in JSON, Avro, and Protobuf formats via built-in schema registry.
Extend processing capabilities with a cross-platform HTTP/gRPC method to achieve custom types of data processing.
Integrate the JSON-specific processing tool jq to convert and process complex JSON data effortlessly.
Effortlessly filter, transform, and distribute data using SQL-like syntax and stream processing capabilities, eliminating the need for custom code or additional tools.
The Rule Engine facilitates real-time insights by triggering actions based on specific conditions, empowering users to take prompt and informed actions.
The Rule Engine simplifies the development of IoT applications by providing a wide range of built-in capabilities, reducing the need to develop custom code and minimizing maintenance efforts.
Designed to handle high throughput and large numbers of connected devices, allowing users to scale their IoT solutions without sacrificing performance or reliability.