The SQL-like syntax and stream processing capabilities make it easier to filter, transform, and distribute data without needing to develop custom code or use additional tools.
By triggering actions based on specific conditions, the Rule Engine enables users to derive real-time insights and take appropriate 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.
Real-time processing of data streams using SQL-like syntax. Filter, transform, and distribute data on-the-fly to derive insights.
Rule engine can respond to various events such as message publish/subscribe and actions to be taken could based on specific conditions.
A bunch of predefined operations that 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, 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 powerful JSON-specific processing tool jq to convert and process complex JSON data effortlessly.