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
In this post, I am going to show you how to set up Telegraf and have it send metrics data to CrateDB.
Compare data historians and time series databases on OT connectivity, query language, and analytics depth. Learn why most industrial stacks benefit from both.
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.
CrateDB 6.3 enhances compatibility with SQL and PostgreSQL, unifies object store access, and improves resilience, making integration with third-party tools easier.
Managing billions of IoT events requires a new data architecture. Discover how CrateDB enables real-time analytics for industrial systems.
Traditional databases struggle with the high-velocity, evolving, and high-cardinality data of industrial IoT systems, necessitating new data platforms for real-time analytics.
CrateDB enables high-cardinality IoT analytics, flexible JSON and search, edge-to-cloud IIoT, and unified machine-data observability in one distributed SQL engine.
Discover the best databases for real-time analytics on high-velocity IoT and sensor data, focusing on ingestion, scalability, and AI-ready pipelines.
Discover the latest CrateDB 6.2 features that enhance PostgreSQL compatibility, operational maturity, and performance. Explore new schema management, UUID datatype, and improved SQL compatibility.
