Process
SQL-based IoT Rule Engine
Low-code IoT data processing and integration using a powerful SQL-based IoT rule engine and data bridges to help extract, filter, enrich, transform and store IoT data in real-time to accelerate application integration and business innovation.
Benefits
SQL-based Data Processing
Use standard SQL statements to extract, filter, enrich, and transform IoT data.
Business Logic Automation
Automate IoT data processing and business logic with SQL and rules pipeline.
Fast & Flexible Data integration
Integrate IoT data with various enterprise systems using pre-built data bridges.
Accelerate Application Development
Avoid months of engineering to integrate data for application development.
Capabilities
SQL-based Real-time Event Processing
Real-time event processing with standard SQL statements powered by the built-in IoT rule engine and rule pipeline.
Schema registry and message encoding/decoding
High-performance encode/decode MQTT messages in JSON, Avro, Protobuf formats via built-in schema registry.
Ingest IoT data to Confluent/Kafka and Pulsar
Transform and ingest hundreds of thousands of MQTT messages per second to Kafka, Pulsar, and RabbitMQ message brokers.
Integrate IoT data into various databases
Easily integrate IoT data into RDS, various SQL / NoSQL / time-series databases, and enterprise systems such as Oracle and SAP.
