HiveMQ and TimescaleDB: It just works!

Doug Pagnutti discusses his experience with using HiveMQ's enterprise version to solve a production issue at a plant manufacturing explosives, where precise dosing of explosive powder was crucial. Facing challenges with the weight verification process that caused production delays, the team engaged a machine learning company to optimize the dosing parameters, requiring a robust solution to transmit real-time data from their SCADA system to the partner's infrastructure. Pagnutti chose HiveMQ for its ease of setup and reliability, allowing seamless data flow and integration without needing constant rewrites, even as data requirements evolved. HiveMQ's compatibility with TimescaleDB, a Postgres extension suited for time-series data, was highlighted as a powerful combination for managing IIoT data streams, demonstrating the utility of HiveMQ's built-in PostgreSQL connector to efficiently transport and store data without complex configurations.

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