# HiveMQ and TimescaleDB: It Just Works!

Page: https://stenobird.com/podcast/data-science-tech-brief-by-hackernoon-6367564/hivemq-and-timescaledb-it-just-works
Text version: https://stenobird.com/podcast/data-science-tech-brief-by-hackernoon-6367564/hivemq-and-timescaledb-it-just-works.md
Podcast: [Data Science Tech Brief By HackerNoon](https://stenobird.com/podcast/data-science-tech-brief-by-hackernoon-6367564)
Published: 2026-05-07T16:01:24+00:00
Episode link: https://share.transistor.fm/s/0e703873
Audio file: https://media.transistor.fm/0e703873/ba01c049.mp3
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JSON: https://stenobird.com/v1/public/podcasts/data-science-tech-brief-by-hackernoon-6367564/episodes/hivemq-and-timescaledb-it-just-works
Duration seconds: 237

## Resource

This story was originally published on HackerNoon at: https://hackernoon.com/hivemq-and-timescaledb-it-just-works . How HiveMQ and MQTT enabled real-time SCADA data streaming to power machine learning and optimize an industrial dosing process at scale. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-pipeline , #hivemq-timescaledb-integration , #real-time-sensor , #ai-data-pipeline , #ai-optimization , #secure-data-transfer , #hypertable-time-series , #good-company , and more. This story was written by: @tigerdata . Learn more about this writer by checking @tigerdata's about page, and for more stories, please visit hackernoon.com . Using HiveMQ, an industrial plant streamed real-time SCADA data to external machine learning models to fix a failing dosing process. The flexible MQTT pipeline made it easy to add new data inputs without rework. Paired with TimescaleDB, the system scaled to handle continuous telemetry, turning unreliable production into a stable, optimized operation.

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## Transcript

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