
Anthony Olazabal developed a Database Protocol Adapter for the hivemq-edge repository, enabling HiveMQ Edge to connect with PostgreSQL, MySQL, and MS SQL databases. He implemented the adapter using Java and Kotlin, focusing on robust database integration and efficient data retrieval. The solution included configurable polling intervals and comprehensive error handling, allowing reliable and fault-tolerant data ingestion. By publishing database records directly to MQTT topics, Anthony’s work reduced data-access latency and expanded enterprise integration capabilities. The adapter’s design leveraged HikariCP for connection management and Gradle for build automation, establishing a scalable bridge between diverse databases and MQTT-based workflows.

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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