Batch-export OEE pipelines introduce 15–60 minute data lags that prevent shift supervisors from responding to production issues in time. By replacing the export step with CrateDB as a real-time analytics database, sensor data becomes queryable within milliseconds of ingestion via standard SQL and PostgreSQL wire protocol. A concrete OEE SQL query is provided that calculates Availability × Performance × Quality per asset per hour on a rolling 8-hour window. ALPLA, a global packaging manufacturer with 181 facilities and 900 sensor types per factory, cut query times from 3–5 minutes to milliseconds (250x improvement) after migrating from SQL Server to CrateDB, without rewriting existing SQL or changing reporting tools.
Table of contents
How most OEE pipelines are builtWhat a 15-minute lag costs on the production floorThe architecture that removes the export stepAn OEE query that runs on live dataALPLA: 250x faster across facilitiesWhat this means for your data teamSort: