Benefits

SQL-based Data Processing

SQL-based Data Processing

Use standard SQL statements to extract, filter, enrich, and transform IoT data.

Business Logic Automation

Business Logic Automation

Automate IoT data processing and business logic with SQL and rules pipeline.

Fast & Flexible Data integration

Fast & Flexible Data integration

Integrate IoT data with various enterprise systems using pre-built data bridges.

Accelerate Application Development

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.

SQL-based Real-time Event Processing

Schema registry and message encoding/decoding

High-performance encode/decode MQTT messages in JSON, Avro, Protobuf formats via built-in schema registry.

Schema registry and message encoding/decoding

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.

Ingest IoT data to Confluent/Kafka and Pulsar

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.

Integrate IoT data into various databases