Real-Time ML Inference on Live Sensor Data: Architecture with CrateDB and FastAPI
Discover how to achieve real-time machine learning inference on live sensor data using CrateDB and FastAPI, enhancing predictive maintenance in industrial IoT.
Anomaly Detection on Industrial Sensor Data: Beyond Threshold Alerts
Discover how Isolation Forest anomaly detection can enhance industrial sensor data analysis, moving beyond static thresholds to provide context and insights for predictive maintenance.
How to Add a New Sensor Type to Your Industrial Database Without Pipeline Downtime
Discover how CrateDB's dynamic columns enable seamless integration of new sensor types in industrial databases without downtime, enhancing operational efficiency.
Data Sovereignty for Manufacturing Analytics: Why Cloud-Only Doesn't Work in DACH
Explore why DACH manufacturers need on-premises analytics databases to comply with strict data sovereignty laws while achieving real-time insights from production data.
Predictive Maintenance Database Architecture: From Sensor Data to Maintenance Trigger in SQL
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.
Cross-Plant Visibility in One SQL Query: Ending the Analytics Silo Problem
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.
Edge Analytics for Industrial IoT
Learn why cloud-only analytics fails at the factory floor and how CrateDB's edge deployment handles OT/IT separation, DACH data sovereignty requirements, and sub-second query latency on live sensor data.
IoT Analytics at Scale: Architecture Guide for Industrial Data
Build real-time industrial IoT analytics with Telegraf, CrateDB, and Grafana. SQL examples, architecture patterns, and proof from ALPLA, ABB, and TGW. Learn more.
OEE Analytics on Live Data: How to Move from Nightly Exports to Real-Time Dashboards
Learn why batch export architectures make OEE dashboards too slow for shift supervisors, and how manufacturing teams cut query times from 3 to 5 minutes to milliseconds with a real-time analytics database
The InfluxDB Cardinality Problem: Why High-Cardinality Industrial Data Breaks It
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.