Learn the three SQL patterns that power predictive maintenance: threshold triggers, trend detection, and cross-asset correlation. See how CrateDB serves as the data layer under ML models for industrial IoT at scale.
Learn how to seamlessly ingest OPC-UA and MQTT data into SQL using Telegraf and CrateDB, enabling real-time insights and efficient data management for industrial IoT.
Learn why industrial analytics become siloed per facility, why consolidation layers fail at operational speed, and how manufacturing and logistics teams query all sites in one SQL statement.
Build real-time industrial IoT analytics with Telegraf, CrateDB, and Grafana. SQL examples, architecture patterns, and proof from ALPLA, ABB, and TGW. Learn more.
In this post, I am going to show you how to set up Telegraf and have it send metrics data to CrateDB.
Learn why InfluxDB's TSM storage model hits a cardinality wall at industrial scale, and how CrateDB stores 900 sensor types in a single table without a series ceiling.
