InfluxDB for Industrial IoT
summary
InfluxDB claims tens of millions of records per second ingestion by decoupling ingestion storage and query, uses time‑series compression plus parquet backed by object storage to cut storage costs, and supports edge single-node durable sync for offline plants. Concrete wins given: a brewery roll‑out scales from ~100 to 160 sites and reports $20M annual OEE gains, a power‑storage app runs on InfluxDB, and an auto maker gets a reported 10x increase in timestamp granularity for ML workloads.
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chapters (8)
- 0:00Introduction
- 1:49Time series for Industry 4.0
- 3:14Industrial IoT data challenges
- 4:59SQL databases for IoT
- 6:45InfluxDB for industrial IoT
- 8:10Deployment and open-source
- 9:56Tech stack with InfluxDB
- 10:39Customer success
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