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.
Comparing MongoDB, TimescaleDB, InfluxDB, and CrateDB for an IIoT Use-case
In this blog post, we compare how MongoDB, TimescaleDB, InfluxDB, and CrateDB perform for an industrial IoT use-case.
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.
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
Data Historian vs. Time Series Database: Which Belongs in Your Industrial Stack
Compare data historians and time series databases on OT connectivity, query language, and analytics depth. Learn why most industrial stacks benefit from both.
The New Industrial Data Stack: Managing Billions of IoT Events in Real Time
Managing billions of IoT events requires a new data architecture. Discover how CrateDB enables real-time analytics for industrial systems.
Why Industrial IoT Data Breaks Traditional Databases
Discover why traditional databases struggle with industrial IoT data and how CrateDB's architecture addresses challenges like velocity, schema changes, and high cardinality.
IoT Analytics: Turning Real Time Device Data into Actionable Insights
Discover how IoT analytics transforms real-time device data into actionable insights, optimizing operations and enhancing decision-making across industries.