
Developed and integrated a Database Protocol Adapter for the hivemq-edge repository, enabling seamless connectivity between HiveMQ Edge and major databases such as PostgreSQL, MySQL, and MS SQL. Focused on robust database integration using Java, Kotlin, and SQL, the work included implementing configuration options, connection management, and data retrieval logic to facilitate direct publishing of database records to MQTT topics. The adapter supports configurable polling intervals and comprehensive error handling, ensuring reliable and fault-tolerant data ingestion. This feature expanded enterprise data integration capabilities, reducing data-access latency by bridging multiple databases with MQTT-based workflows for scalable, real-time data delivery.
June 2025 monthly summary for hivemq-edge: Delivered a new Database Protocol Adapter enabling HiveMQ Edge to connect to PostgreSQL, MySQL, and MS SQL databases. Implemented configurations, connection handling, and data retrieval logic to publish data via MQTT. Added configurable polling intervals and robust error handling to ensure reliable data integration. This work establishes a scalable bridge for enterprise data ingestion and reduced data latencies by publishing database data directly to MQTT topics. Note: no major bugs fixed this month; primary focus was feature delivery and integration.
June 2025 monthly summary for hivemq-edge: Delivered a new Database Protocol Adapter enabling HiveMQ Edge to connect to PostgreSQL, MySQL, and MS SQL databases. Implemented configurations, connection handling, and data retrieval logic to publish data via MQTT. Added configurable polling intervals and robust error handling to ensure reliable data integration. This work establishes a scalable bridge for enterprise data ingestion and reduced data latencies by publishing database data directly to MQTT topics. Note: no major bugs fixed this month; primary focus was feature delivery and integration.

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