Use standard SQL statements to extract, filter, enrich, and transform IoT data.
Automate IoT data processing and business logic with SQL and rules pipeline.
Integrate IoT data with various enterprise systems using pre-built data bridges.
Avoid months of engineering to integrate data for application development.
Real-time event processing with standard SQL statements powered by the built-in IoT rule engine and rule pipeline.
High-performance encode/decode MQTT messages in JSON, Avro, Protobuf formats via built-in schema registry.
Transform and ingest hundreds of thousands of MQTT messages per second to Kafka, Pulsar, and RabbitMQ message brokers.
Easily integrate IoT data into RDS, various SQL / NoSQL / time-series databases, and enterprise systems such as Oracle and SAP.