SQL-based IoT Rule Engine
Low-code IoT data processing using a SQL-based IoT rule engine to help extract, filter, enrich, and transform IoT data in real-time to accelerate application integration and business innovation.
Benefits
Simplified data processing
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.
Real-time insights and actions
By triggering actions based on specific conditions, the Rule Engine enables users to derive real-time insights and take appropriate actions
Reduced development time and effort
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.
Scalability and reliability
Designed to handle high throughput and large numbers of connected devices, allowing users to scale their IoT solutions without sacrificing performance or reliability.
Capabilities
SQL-based Real-time Data Processing
Real-time processing of data streams using SQL-like syntax. Filter, transform, and distribute data on-the-fly to derive insights.
Event triggers with conditional actions
Rule engine can respond to various events such as message publish/subscribe and actions to be taken could based on specific conditions.
Rich built-in functions
A bunch of predefined operations that can be used within the Rule Engine to process and manipulate the data streams more effectively and efficiently.
Schema registry and message encoding/decoding
High-performance encode/decode MQTT messages in JSON, Avro, Protobuf formats via built-in schema registry.
HTTP/gRPC extension
Extend processing capabilities with a cross-platform HTTP/gRPC method to achieve custom types of data processing.
Complex JSON Processing
Integrate the powerful JSON-specific processing tool jq to convert and process complex JSON data effortlessly.
