CrateDB

Happening next week: Join us for a practical walkthrough of real-time decision architecture in manufacturing. See how to unify live sensor data, MES, and quality systems to drive faster, more informed action while production runs. Register now to secure your spot and learn from real deployment scenarios. 👉 Register now. https://lnkd.in/e_huYBuy/?utm_campaign=Boost-EventAd-Real-TimeDecisionArchitecture-Webinar04.11.2026&utm_source=linkedin&utm_medium=paid&utm_id=1243783874&hsa_acc=506969133&hsa_cam=1243783874&hsa_grp=905909394&hsa_ad=1617958464&hsa_net=linkedin&hsa_ver=3

A production line starts to drift. Sensor readings change, quality results arrive later, and the information needed to explain the problem sits across different systems. How do you identify the issue early enough to act during the same shift? In this webinar, Gregor Bauer, VP Customer Engineering at CrateDB, walks through a real quality-drift scenario and shows how to connect those signals while production is still running. You'll see: ➡️ How to support both live investigation and historical analysis in one place ➡️How to handle changing data and high-cardinality assets without slowing down ➡️Where a real-time analytics layer fits alongside your existing operational systems Along the way, we’ll discuss the technical design choices and the business measures that show whether real-time analytics is delivering value. Register now: https://hubs.ly/Q04zq6bD0

Bring uptime, downtime, production events, and sensor readings together for real-time production analytics. Build faster insights on a single SQL data layer.

High-speed filling creates high-volume data. Turn that data into real-time production insight and identify issues before they impact the line.

Turn production and sensor data into applications your teams can actually use. Build real-time quality analytics without adding another data silo.

Time-series data, machine events, JSON, and operational data do not have to live in separate systems. CrateDB brings different data types together in one SQL engine.